Proyectos de investigación

International Projects

Head researcher: JAVIER DE FELIPE OROQUIETA

More information: Link to the project

Call: H2020

Summary:

The Human Brain Project (HBP) is a major European scientific research initiative to improve our understanding of the brain and the role it plays in making us human, and to exploit the opportunities offered by the resulting knowledge. The size and complexity of the brain make this an expensive undertaking, but the costs associated with our current ignorance are rising and the potential gains from better insight into the brain are increasing. Brain-related diseases, many of which are age-related, now represent a major part of the global health burden and there are both ethical and economic imperatives to keep the growing number of older people healthier and more productive. Economic advantage is increasingly linked to artificial intelligence (AI), our ability to create technology to extract, manipulate and harness knowledge. The HBP’s comprehension of what makes the human brain so efficient and flexible should help to maintain Europe’s competitiveness and innovation potential in this area.

The HBP is one of several brain research initiatives and projects around the world, albeit one of the first, but it is unique in a number of ways. Only the HBP has an explicit focus on both neuroscience and computing. It is also the broadest and most integrated brain initiative, and the only one aiming to build a research infrastructure to accelerate brain research.

The HBP is a FET Flagship which started under FP7 and continues under H2020 with a succession of Specific Grant Agreements (SGAs) under a Framework Partnership Agreement (FPA). In its FP7 Ramp-Up Phase (2013-16) and subsequent SGA1 funding period (2016-18), the HBP implemented a scientific project of rare ambition, breadth and scale, and forged its diverse constituents into a functioning entity. On the scientific side, it not only identified critical gaps in our understanding of the brain, but also created tools and obtained data to fill many of them. It designed, built and demonstrated six ICT research platforms, supporting neuroinformatics, brain simulation, high-performance analytics and computing, medical informatics, brain-inspired computing and linking of simulated brains to robotic bodies. The results have been made available to the scientific community. The HBP also learnt to address underperformance and conflicts, and opened up the Project via competitive calls and the integration of Partnering Projects.

In the upcoming SGA2 funding period (2018-20), the HBP will continue to strengthen global brain research efforts by extending coordination with other brain initiatives and projects. Internally, it will continue its unique inter-disciplinary co-design approach, developing research infrastructure capabilities via use cases built around specific research needs. This approach will underpin its critical scientific work of understanding how to bridge between the different scales of brain organisation, a key prerequisite to understand the principles of brain organisation. It will include gathering data to support detailed modelling, notably of the human hippocampus, as well as structural, functional and connectivity data to improve systemic understanding of the whole brain. The HBP will also investigate brain similarities and differences between individuals and between species. It will model key brain functions, including visual recognition, slow-wave activity, episodic memory and consciousness in rodents and humans, and elaborate their cognitive architectures. In addition, it will develop simplified brain models to support further development of brain-inspired computing.

SGA2 will see the individual infrastructure platforms extended and integrated into the HBP Joint Platform (HBP-JP). The JP will make HBP services more robust and improve the user experience, encouraging wider use of its tools. 

Head researcher: ALEJANDRO RODRIGUEZ GONZALEZ

More information: Link to the project

Call: H2020

Summary:

There are three main reasons for an immediate innovation action to apply big data technologies in Healthcare.Firstly,a Healthy nation is a Wealthy nation! An improvement in health leads to economic growth through long-term gains in human and physical capital, which ultimately raises productivity and per capita GDP. Secondly, Healthcare is one of the most expensive sectors, which accounts for 10% of the EU’s GDP continuously becoming more expensive. Thirdly, as healthcare is traditionally very conservative with adopting ICT, while big healthcare data is becoming available, the expected impact of applying big data technologies in Healthcare is enormous. BigMedilytics will transform Europe’s Healthcare sector by using state-of-the-art Big Data technologies to achieve breakthrough productivity in the sector by reducing cost, improving patient outcomes and delivering better access to healthcare facilities simultaneously, covering the entire Healthcare Continuum – from Prevention to Diagnosis, Treatment and Home Care throughout Europe.

BigMedilytics produces:

• A Big Data Healthcare Analytics Blueprint (defining platforms and components), which enables data integration and
innovation spanning all the key players across the Healthcare Data Value Chains
• Instantiations of the Blueprint which implement BigMedilytics concepts across 12 large-scale pilots accounting for
an estimated 86% of deaths and 77% of the disease burden in Europe
• The Best “Big Data technology and Healthcare policy” Practices related to big data technologies, new business
models and European and national healthcare data policies and regulations.


BigMedilytics will maximize the impact by using its Big Data Healthcare Analytics Blueprint and the Best Practices
to scale-up the concepts demonstrated in the 12 pilots, to the whole Healthcare sector in Europe. It will use health
records of more than 11 million patients across 8 countries and data from other sectors such as insurance and public
sector.

Head researcher: MIGUEL HOLGADO BOLAÑOS

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Call: H2020

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

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Call: H2020

Head researcher: DAVID PEREZ DEL REY

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Call: H2020

Head researcher: ALEJANDRO RODRIGUEZ GONZALEZ

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Call: H2020

Head researcher: ERNESTINA MENASALVAS RUIZ

More information: Link to the project

Call: H2020

Summary:

The vision of IASIS is to turn the wave of data heading our way into actionable knowledge for decision makers. This will be achieved by integrating data from disparate sources, including genomics, electronic health records and bibliography, and applying advanced analytics methods to discover useful patterns. Big Data in healthcare is in its early days, and most of the potential for value creation is being unclaimed. One of the main challenges is the analysis of acquired data. While information is becoming ever easier to obtain, the infrastructure to collect, integrate, share, and mine the data remains lacking. These data are an invaluable resource for deriving insights to improve decision and policy making.

The goal is to turn these large amounts of data into actionable information to authorities for planning public health activities and policies. The integration and analysis of these heterogeneous sources of information will enable the best decisions to be made, allowing for diagnosis and treatment to be personalised to each individual. IASIS aims to pave the way towards comprehensive access to data from disparate sources and the results of analysis, in the form of actionable knowledge for policy-making.

The project will offer a common representation schema for the heterogeneous data sources. The infrastructure will be able to convert clinical notes into usable data, combine them with genomic data, related bibliography, image data and more, and create a global knowledge base. This will facilitate the use of intelligent methods in order to discover useful patterns across different resources. Using semantic integration of data will give the opportunity to generate information that is rich, auditable and reliable. This information can be used to provide better care, reduce errors and create more confidence in sharing data, thus providing more insights and opportunities. Data resources for two different disease categories will be explored, dementia and lung cancer.

Head researcher: MARTA PATIÑO MARTINEZ

More information: Link to the project

Call: H2020

Summary:

Today’s rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. CrowdHEALTH will introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs will be transformed into Social HHRs communities capturing the clinical, social and human context of the population segmentation and as a result the collective knowledge for different factors depending on the communities formulation criteria (e.g. demographics, diseases, lifestyle choices, nutrition, etc). CrowdHEALTH will deliver a secure integrated ICT platform that seamlessly integrates big data technologies across the complete data path, providing of Data as a Service (DaaS) to the health ecosystem stakeholders. CrowdHEALTH will develop policy modeling techniques to facilitate the inclusion of Key Performance Indicators (KPIs) in policies and the correlation of these KPIs both with all health determinants captured in HHRs and with information from other domains towards a “health in all policies” approach. Creation and co-creation (cross-domain) of policies will be feasible through a rich toolkit, which will be provided on top of the DaaS, incorporating mechanisms for causal and risk analysis, as well as for compilation of predictions. Through the toolkit, multi-modal targeted policies addressing various time scales (long- / short- term), locations (area, regional, national, international), populations, and evolving risks will be realized. CrowdHEALTH will facilitate policies evaluation (on complete policy and per-KPI levels) and optimization through adaptive and incremental visualizations of simulations and outcomes of evidence based analysis of prevention strategies. CrowdHEALTH will collect data and will be validated through 5 pilots addressing different environments (care centers, social networks, public environments, living labs, diseases monitoring).

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: H2020

Summary:

ACTIVAGE is a European Multi Centric Large Scale Pilot on Smart Living Environments. The main objective is to build the first European IoT ecosystem across 9 Deployment Sites (DS) in seven European countries, reusing and scaling up underlying open and proprietary IoT platforms, technologies and standards, and integrating new interfaces needed to provide interoperability across these heterogeneous platforms, that will enable the deployment and operation at large scale of Active & Healthy Ageing IoT based solutions and services, supporting and extending the independent living of older adults in their living environments, and responding to real needs of caregivers, service providers and public authorities.

The project will deliver the ACTIVAGE IoT Ecosystem Suite (AIOTES), a set of Techniques, Tools and Methodologies for interoperability at different layers between heterogeneous IoT Platforms and an Open Framework for providing Semantic Interoperability of IoT Platforms for AHA, addressing trustworthiness, privacy, data protection and security. User-demand driven interoperable IoT-enabled Active & Healthy Ageing solutions will be deployed on top of the AIOTES in every DS, enhancing and scaling up existing services, for the promotion of independent living, the mitigation of frailty, and preservation of quality of life and autonomy.

ACTIVAGE will assess the socio-economic impact, the benefits of IoT-based smart living environments in the quality of life and autonomy, and in the sustainability of the health and social care systems, demonstrating the seamless capacity of integration and interoperability of the IoT ecosystem, and validating new business, financial and organizational models for care delivery, ensuring the sustainability after the project end, and disseminating these results to a worldwide audience. The consortium comprises industries, research centres, SMEs, service providers, public authorities encompassing the whole value chain in every Deployment Site.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: H2020

Summary:

Planning and mental simulation of actions and outcomes are a major cognitive trait of humans. We predict action consequences and perform goal-directed actions in proactive, forward-looking ways. By contrast, systems that lack predictive planning are reactive and dominated by reflex-like, cumbersome behaviors. Most currently existing brainmachine-interfaces (BMI) fall into this category. Plan4Act sets out to go beyond this by inferring actions from actionpredicting neural activity of complex action sequences. Neurophysiology in non-human primates recently revealed that such encoding is far more widespread than previously thought. The goal of the Plan4Act project is to record and understand predictive neural activity and use it to proactively control devices in a smart house. The far-future vision behind this is to endow motor-impaired patients with the ability to plan a daily-life goal – like making coffee – and achieve it without having to invoke one by one every single individual action to reach this goal. To approach this complex problem, we record multi-unit action predicting activity in macaques (WP1), model this by adaptive neural networks (WP2), design therefrom an embedded (FPGA-based) controller (WP3), and interface it with a smart house (WP4) to control action sequences with a clear look-ahead property. The main outcome of this project is a system that integrates the above components at TRL4 for which we quantify improved reaction speed and robustness of this type of proactive BMI control. The understanding and use of predictive neural signals for machine control is novel and methods, algorithms, and hardware developed to translate predictive planning from neural activity to technology create the major general impact of this project. Potential translational and commercial interests will be assessed by our industrial partner, where specifically the embedded controller and its smart house interface are expected to create nearfuture commercial impact, too.

Head researcher: FRANCISCO DEL POZO GUERRERO

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Call: H2020

Head researcher: FRANCISCO DEL POZO GUERRERO

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Call: H2020

Head researcher: GONZALO LEON SERRANO

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Call: H2020

Head researcher: GONZALO LEON SERRANO

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Call: H2020

Head researcher: ENRIQUE JAVIER GOMEZ AGUILERA

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Call: H2020

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

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Call: H2020

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

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Call: H2020

Head researcher: XAVIER FERRE GRAU

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Call: H2020

Head researcher: MARIA FERNANDA CABRERA UMPIERREZ

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Call: H2020

Summary:

PULSE (Participatory Urban Living for Sustainable Environments) will leverage diverse data sources and big data analytics to transform public health from a reactive to a predictive system, and from a system focused on surveillance to an inclusive and collaborative system supporting health equity. Working within five global cities, PULSE will harvest open city data, and data from health systems, urban and remote sensors, personal devices and social media to enable evidence-driven and timely management of public health events and processes. The clinical focus of the project will be respiratory diseases (asthma) and metabolic diseases (Type 2 Diabetes) in adult populations.

The project will develop risk stratification models based on modifiable and non-modifiable risk factors in each urban location, taking account of biological, behavioural, social and environmental risk factors. Following the recommendations of WHO Europe (2015), the project will also focus on the development of metrics, and data-driven approaches, to community resilience and well-being in cities. Deploying a Health in All Policies (HiAP) perspective, and a ‘whole-of-city’ model, the project will integrate and analyze data from the health, environment, planning and transport sectors in each city. PULSE will pioneer the development and testing of dynamic spatio-temporal health impact assessments using geolocated population-based data.

PULSE will also develop simulation models of potential policy scenarios to allow decision-makers, citizens and businesses to ascertain the impact of proposed policies. The project will culminate in the establishment of Public Health Observatories in each urban location. These observatories will serve as linked hubs that utilize knowledge-driven processes and big data to shape intersectoral public policy and service provision, support citizen health, and encourage entrepreneurship in the fields of data science and mobile health.

Head researcher: JAVIER DE FELIPE OROQUIETA

More information: Link to the project

Call: H2020

Summary:

Understanding the human brain is one of the greatest scientific challenges of our time. Such an understanding can provide profound insights into our humanity, leading to fundamentally new computing technologies, and transforming the diagnosis and treatment of brain disorders. Modern ICT brings this prospect within reach.

The HBP Flagship Initiative (HBP) thus proposes a unique strategy that uses ICT to integrate neuroscience data from around the world, to develop a unified multi-level understanding of the brain and diseases, and ultimately to emulate its computational capabilities. The goal is to catalyze a global collaborative effort. During the HBP’s first Specific Grant Agreement (SGA1), the HBP Core Project will outline the basis for building and operating a tightly integrated Research Infrastructure, providing HBP researchers and the scientific Community with unique resources and capabilities. Partnering Projects will enable independent research groups to expand the capabilities of the HBP Platforms, in order to use them to address otherwise intractable problems in neuroscience, computing and medicine in the future.

In addition, collaborations with other national, European and international initiatives will create synergies, maximizing returns on research investment. SGA1 covers the detailed steps that will be taken to move the HBP closer to achieving its ambitious Flagship Objectives.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: H2020

Summary:

"Cancers of the Head and Neck Region (HNC) are the 6th more deadly cancers worldwide: in Europe ~150.000 new cases are detected and ~70.000 patients die every year. The main reasons for high mortality are the fact that the majority of cases are diagnosed in advanced Stage and the intrinsic heterogeneity of such tumors. At present the only adopted treatment decision method is based on TNM (Tumor-lymph-Nodes-Metastasis) prognostic system, that considers only a few risk factors such as smoking, alcohol abuse and more recently HPV. The TNM system is therefore inadequate to capture the patient-specific biomolecular characteristics of the tumor. HNC treatments can have hard impact on patient’s aesthetics and functionalities and, due to their toxicity, can cause severe morbidity and greatly deteriorate patient’s quality of life. A more precise prognostic prediction than the current TNM system is needed that allows implementing the first-line treatment that maximizes the therapeutic result and minimizes the impacts of therapy.
BD2Decide DSS provides clinicians with the ""means"" and all the necessary information to tailor treatment and care delivery pathway to each and any HNC patient during their usual practice, in contrast to current “one-size-fits-all approach”. BD2Decide realizes and validates an Integrated Decision Support System that links population-specific epidemiology and behavioral data, patient-specific genomic, pathology, clinical and imaging data with big data techniques, multiscale prognostic models. Advanced graphical visualization tools are developed for prognostic data disclosure and patient co-participation to the selected treatment. BD2Decide will improve the clinical decision process, uncover new patient-specific patterns that can improve care, and create a virtuous circle of learning. A multicentric clinical study with more than 1.000 patients will be used to validate the system.

Head researcher: FRANCISCO DEL POZO GUERRERO

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Call: H2020

Head researcher: FRANCISCO DEL POZO GUERRERO

More information: Link to the project

Call: H2020

Head researcher: GONZALO LEON SERRANO

More information: Link to the project

Call: H2020

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: H2020

Head researcher: MARIA FERNANDA CABRERA UMPIERREZ

More information: Link to the project

Call: H2020

Summary:

Smart Home (SH) provides a promising approach to assisted living for the ageing population. Yet it still remains a challenge to develop and deploy such solutions in a large scale due to the lack of an easy-to-use technology infrastructure and application exemplars. This problem arises from the nature of the SH field: multidisciplinary, diverse in its applications, and with multiple stakeholders. Whilst a one-size-fits-all technology infrastructure seems unlikely, alternatives are still missing. In addition, an effective approach to cross-discipline, cross-sector understanding for best practices has so far not been seen.


ACROSSING addresses this problem by implementing a multidisciplinary cross-sector pan-European training network to knock down barriers between disciplines and sectors and providing the ESRs with a broad training experience. ACROSSING develops 15 topically complementary research projects covering four core research themes, and four main application categories. By multidisciplinary collaborations and cross-sector interactions, the ESRs will develop flexible, interoperable underlying technologies which are then applied to and evaluated in multiple real application scenarios, leading to four specialised technology infrastructures and four best-practice application demonstrators. ACROSSING also deliver comprehensive blended training by combining campus-based and industrial practice training, and perspectives on personal development and social issues by well-established researchers and practitioners from academic, industry and user organisations. Whilst the scientific focus is to challenge the traditional way of SH research to develop advanced technologies and platforms, the training will train ESRs to establish links between research, real-world problems, innovation and personal career. ACROSSING will share software and datasets using open source technologies, and promote findings and impact through a number of measures, e.g. online, outreach events.

Head researcher: JOSE MANUEL MENENDEZ GARCIA

More information: Link to the project

Call: H2020

Summary:

There are many efforts at European level to improve our ability to monitor health and to prevent, detect, treat and manage disease so that active and healthy ageing can be promoted. In this project, breakthrough research and radical innovation on new services for integrated care is achieved by means of an efficient and cost-effective service-oriented ICT-based collaborative platform which exploits latest advances in sensorization, processing, communications and personalized HMI.

ICT4Life will develop a modular Health Service Platform that will allow the provision, easily and in an adaptive way, of 6 ICT4Life Cluster Services for integrated care according to different end-user needs.

Addressing the priorities of the European Innovation Partnership on Active and Healthy Ageing, a multidisciplinary approach which integrates expertise and knowledge of medical doctors, nurses, social workers, psychologists, physiotherapists, social scientists, patients as well as programmers and interaction designers is proposed. It relies, from a general perspective, on: New training models for the care workforce; advanced multisensory-based analytics and integration with biomedical devices to have patient activity and health status information; Feedback-based decision-making engine to integrate patient and care provider data; Improve natural interaction mechanisms with patients with interfaces through television with Android TV possibilities, smartphones and desktop applications; Knowledge creation about co-morbidities.

Focusing on real medical problems, people with Dementia, Alzheimer or Parkinson disease, constitute the main group of users ICT4Life will focus the analysis on. ICT4Life validation will be done in real use case scenarios in 3 European countries of all this pathologies in order to validate ICT4Life services, measure effects of treatment and project developments and to evaluate knowledge acquired about co-morbidities of these diseases.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: H2020

Summary:

Personal health systems for the management of chronic diseases have seen giant leaps in development over recent years. These systems offer vital sign monitoring and therapy delivery at home, focusing on the primary physical disease conditions. However, they do not provide support for early mood assessment or psychological treatment and lack a real-time comprehensive assessment of the patient’s mental status.


Depression is the third leading contributor to global diseases, and depressive mood state is also considered to be strictly related to the onset or worsening of a severe primary somatic disease. Indeed effective preventive medicine related to the onset of depressive symptoms as a comorbidity and worsening factor of psychosomatic diseases such as myocardial infarction, leg-amputation, cancer, and kidney failure is lacking.


NEVERMIND sets out to empower people who suffer from symptoms of depression related to a serious somatic disease by placing them at the center of their mental healthcare. Equipped with just a smartphone and a lightweight sensitized shirt, patients seeking care and treatment for their mental illnesses interact with these devices that collect data about their mental and physical health, to then get effective feedback. Lifestyle factors, i.e. diet, physical activity and sleep hygiene, play a significant mediating role in the development, progression and treatment of depression, and in NEVERMIND will be monitored by a real-time Decision Support System running locally on the patient’s smartphone, predicting the severity and onset of depressive symptoms, by processing physiological data, body movement, speech, and the recurrence of social interactions. The data will trigger a response encouraging the patient to conduct or alter activities or lifestyle to reduce the occurrence and severity of depressive symptoms.


The final aim is to bring this system to the market, giving people the tools to control their depression and unburden their minds.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: H2020

Summary:

The first and core objective of City4Age is to enable Ambient Assisted Cities or Age-friendly Cities, where the urban communities of elderly people living in Smart Cities are provided with a range of ICT tools and services that - in a completely unobtrusive manner - will improve the early detection of risks related to cognitive impairments and frailty while they are at home or in the move within the city. The second objective is to provide a range of associated tools and services which - with the appropriate interventions - will mitigate the detected risks. The final objective of C4A is to define a model which will provide sustainability and extensibility to the offered services and tools by addressing the unmet needs of the elderly population in terms of (i) detecting risks related to other health type problems, (ii) stimulating and providing incentives to remain active, involved and engaged, (iii) creating an ecosystem for multi-sided market by matching needs and their fulfillments, (iv) contributing to the design and operation of the ultimate Age-friendly City, where the city itself provides support for detecting risks and providing interventions to those affected by mild cognitive impairment (MCI) and frailty. To achieve these objectives City4Age builds on:
- behavioural, sociological and clinical research on “frailty” and MCI in the elderly population;
- state of art ICT technology (i) for “sensing” personal data and exposing them as linked open data, (ii) for designing the algorithms and the API’s to extract relevant behaviour changes and correlated risks, and (iii) for designing interventions to counter the risks,
- stakeholder engagement in order to be driven by relevant user needs to ensure end-user acceptance.

Head researcher: EDUARDO OLIVA GONZALO

More information: Link to the project

Call: H2020

Summary:

Computerized Tomography (CT) has been one of the greatest achievements in medical imaging, but at the cost of a high, potentially harmful, X-ray irradiation dose. The ultimate goal of VOXEL is to provide an alternative to tomography with a disruptive technology enabling 3D X-ray imaging at very low dose. VOXEL aims at prototyping new cameras that will combine the X-ray penetration and nanometre spatial resolution, easiness to use, afforded by avoiding the rotation of the source or the sample, and extremely low dose for maximum impact on medicine and biology.
VOXEL relies on the integration of trans-disciplinary fields in medical imaging, optics, X-ray physics, applied mathematics and value to society through foreseeable commercialization. VOXEL aims at prototyping in parallel a soft X-ray “water window” microscope and a hard X-ray 3D camera for medical applications. While both cameras need groundbreaking development in the underlying physics, only hard X-ray camera has high technological risk (and high societal impact). VOXEL will benefit from the soft X-ray camera thanks to its Biological applications in nano-tomography but also as a test platform for our physical and mathematical models..
The VOXEL team members are leaders in X-ray metrology, wavefront sensing, atomic physic, mathematical computing and 3D medical imaging; with VOXEL we are uniquely positioned to succeed, and to raise the competitiveness of Europe. Doing so by basing the research lead in Portugal with a woman coordinator will be exemplary: beyond the scientific and technological success, thanks to our focus in science and its valorisation, VOXEL will be transformative for scientifically emerging countries.

Head researcher: ENRIQUE JAVIER GOMEZ AGUILERA

More information: Link to the project

Call: H2020

Summary:

EmERGE will develop a mHealth platform to enable self-management of HIV in patients with stable disease. The platform will build upon and integrate the existing mHealth solutions operated by pioneering healthcare providers in the UK and Spain and apply a rigorous co-design approach to ensure patient and clinician input to the solution. The platform will provide users with web based and mobile device applications which interface securely with relevant medical data and facilitate remote access to key healthcare providers EATG, the European HIV patient organisation, will provide a direct and deep interaction with representative patients and clinicians from 5 EU countries. The platform and interfaces will be validated in a large study of 3900 patients using a tailored HTA process, MAST, specifically developed for the assessment of mHealth solutions including translatability as a key factor. Based on prior work showing a high uptake rate and use of mHealth in HIV patient populations,

EmERGE aims to demonstrate the benefits to patients and simultaneous increases in cost-effectiveness for healthcare providers by reducing face-to-face consultations, estimated at 6000 saved per year within this study alone. Patient reported outcomes will be agreed and used in the assessment and development of the system which also aims to increase adherence and enable frailty to be reported using mHealth technology. Innovation will be given priority from the beginning by developing new business models of care provision, targeting key stakeholders in the EU health provider sector, including policymakers and clinicians, while eliciting demand from patients to highlight and initiate the widespread implementation and compensation of mHealth solutions within the timeframe of the project. Guidelines and policy briefs will be produced to evidence the benefits and disseminate the lessons learned to support the uptake of mHealth for self-management of other chronic diseases.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: H2020

Summary:

As Europe¿s population is ageing, long-term care for elderly citizens will become an increasing cost for society. To manage this transition healthcare policies in the EU and individual Member States are heavily focussed on extending the independent life of the elderly, with the dual aim of increasing their quality of life and reducing the costs of care. Dementia affects more than 6% of people aged 60+ and has a devastating effect on their independence ¿ to date, there is no proven intervention to help dementia patients live a fulfilling life for longer.

In this project we will build on an innovative patient support tool to develop a mHealth application that is specifically targeted to patients with mild dementia. The tool will help patients to adhere to their treatment and share data with their carers and doctors; carers will use the same application to monitor patients more easily and share their own well-being with doctors. This will slow the patients¿ cognitive and functional decline, avoid carers getting exhausted and reduce costs of emergency care.

Our project will comprise two phases: first we will use digital accessibility tools to re-design the existing application for dementia patients. The development will be steered by patients, carers and doctors, through user-centric design: we will collect feedback on each new version of the application until the design is perfectly adapted to the users¿ needs. In the second phase we will pilot the optimised application with 1,100 users (patients + carers) and 1,100 controls. This will show the clinical and social benefits for patients and carers, as well as financial benefits for the healthcare system.

Successful delivery of the pilot will increase patients¿ adherence to treatment (10 %-points), while improving the quality of life of carers and patients. It will save healthcare providers €1,818 / patient / year in care costs and will generate revenue of over €18 million / year for the consortium (Year 5).

Head researcher: MARIA FERNANDA CABRERA UMPIERREZ

More information: Link to the project

Call: H2020

Summary:

The number of elderly living with cognitive impairment is growing rapidly due to increasing life expectancy. The percentage of those who live alone depends upon the condition (i.e. roughly 30% of those diagnosed with dementia) but the majority would like to live in their own home or with family, provided that it is safe, comfortable, and cost effective. IN LIFE aims to prolong and support independent living for elderly with cognitive impairments, through interoperable, open, personalised and seamless ICT services that support home activities, communication, health maintenance, travel, mobility and socialization, with novel, scalable and viable business models, based on feedback from large-scale, multi-country pilots. Building on existing knowledge and tested AAL technology/services IN LIFE will offer 19 different services, which will be further optimised and adapted to the particular needs and wants of various elderly groups, including mild cognitive impairment (MCI), early dementia and cognitive impairment with co morbid conditions, plus formal and informal caregivers. These interoperable services will be integrated into an open, cloud- based, reference architecture to be tested in 6 Europe-wide pilots in Greece, Netherlands, Slovenia, Spain, Sweden, and UK, with over 1200 elderly with cognitive impairments, 600 formal and informal caregivers, and 60 other stakeholders. Attention will be paid to issues concerning multilingual and multicultural environments. The project will establish and extensively test new business models for a new taxonomy of elderly with cognitive impairments, encompassing those that are clustered as “dependent”, “at risk”, “assisted” or “active” and formulating and accessing new business scenarios, such as the “user-centric”, “service provider-centric” and “data exploitation-centric” ones. This work will be carried out in 36 months by 20 partners from 9 European countries, totaling 591PMs with a total requested financing of 3.38M€ euros.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: H2020

Summary:

PD_manager aims to build and evaluate an innovative, mhealth, patient centric ecosystem for Parkinson’s disease (PD) management.
The analysis of experts’ diagnostic behaviour and the decomposition of tasks undertaken by the various actors during the disease management will enable the validation of technology against routine clinical judgment measures . Primary motor symptoms such as tremor, bradykinesia and postural imbalance and non-motor symptoms, such as sleep, speech and cognitive disorders, will be evaluated with data captured by light, unobtrusive, co-operative, mobile devices: sensor insoles, a wristband and the patient’s or caregiver’s (the role of which is of paramount importance) smartphone. Data mining studies will lead to the implementation of a Decision Support Platform with suggestions for modifications in the medication which is the key for prolongation of independence and improved Quality of Life. Compliance with medical recommendations will also be studied; the patient will be motivated to adhere to his medication and diet, will be empowered to exercise and make physiotherapies and will be educated about occupational and speech therapy in order to self-manage his condition.
The PD_manager Knowledge Management platform will be built with a cloud-based, open architecture approach based on FI-WARE that will support the use of any commercial set of sensors within the Internet of Things concept.
The successful implementation of all abovementioned objectives will be evaluated in a total of 230 patients (the 30 that will be enrolled at the first phase of the project and 200 more during the pilot). In addition to the evaluation of the clinical effectiveness, acceptability and usability of the developed platform and mobile apps a detailed study for the potential of PD_manager as a new care model in terms of health outcomes, quality of life, care efficiency gains and economic benefits will also be conducted.

Head researcher: EDUARDO JUAREZ MARTINEZ

More information: Link to the project

Call: FP7

Summary:

Starting with some specific types of cancers, this project will try to generalize the methodology to discriminate between healthy and malignant tissues in real-time during surgical procedures. Using the hyperspectral signatures of the healthy tissues and the same tissues affected by cancer, a mathematical model of how cancer affects to the hyperspectral signature will be derived. The research will start with the challenging task of brain cancer detection. A precise resection of the gliomas will minimize the negative effect of removing brain cells while assuring an effective tumour resection. The second type of tumours to be analysed will be the lung and breast cancers as they represent the two most common cancers in the world. Based on the experience gained during the evolution of the project and guided by the oncologist expertise, many other types of cancer out
from the more than 200 that affect human beings will be studied. As cancer supposes a change in the cellular physiology, it should be detected as a change in the hyper-spectral signature. This project will try to determine if there is a certain pattern that could be identified as a cancer hyperspectral signature. Although previous works demonstrates that hyperspectral imaging can be used for certain cancer detection in animals, no application to human beings in real-time surgery has been found. This project will develop an experimental intraoperative setup based on non-invasive hyperspectral cameras connected to a platform running a set of algorithms capable of discriminate between healthy or pathological tissues. This information will be provided, through different display devices to the surgeon, overlapping normal viewing images with simulated colours that will indicate the cancer probability of the tissue presently exposed during every instant of the surgical procedure. A high-efficiency hardware/software prototype will be developed with the aim of recognising cancer tissues on real time.

Head researcher: ALFONSO VICENTE RODRIGUEZ-PATON ARADAS

More information: Link to the project

Call: FP7

Summary:

The goal of PLASWIRE project is to demonstrate (empirically, theoretically, and computationally) that conjugation is a modular, robust and local cell-cell communication mechanism that allows the engineering of scalable, programmable, versatile, and distributed living plasmid technology with potential applications in: Computer science and synthetic biology, Biomedicine, nanobiotechnology and biochemical engineering.
The main scientific and technological achievements of the project will be:


A. The engineering of the following multicellular plasmid based genetic systems:

1. Sentinel plasmids that will serve as new programmable antibiotics able to detect dangerous combinations of plasmids.
2. The largest multicellular genetic circuits engineered so far:
2.1 A multi-layered AND gate circuit with 5 inputs
2.2 AND-OR and OR-AND Boolean logic gates circuits with up to 6 inputs
3. A programmable sensor of 2 plasmids (if-then-else).
4. A multicellular Programmable Logic Array (PLA) of 2 inputs.
5. “Clause plasmids” able to solve autonomously in linear time the SAT problem in bacterial populations


B. The design and simulation of other multicellular plasmid based circuits: Edge-detector multicellular plasmid circuits, smart task scheduler plasmids, foreman plasmids, and predator-prey multicellular circuits.
C. Theoretical analysis of the computational power of distributed communication plasmid protocols and
D. The development of a software conjugative module to the CellModeller and BactoSIM simulators.

Head researcher: JAVIER DE FELIPE OROQUIETA

More information: Link to the project

Call: FP7

Summary:

Understanding the human brain is one of the greatest challenges facing 21st century science. If we can rise to the challenge, we can gain profound insights into what makes us human, develop new treatments for brain diseases and build revolutionary new computing technologies. Today, for the first time, modern ICT has brought these goals within sight. The goal of the Human Brain Project, part of the FET Flagship Programme, is to translate this vision into reality, using ICT as a catalyst for a global collaborative effort to understand the human brain and its diseases and ultimately to emulate its computational capabilities. The Human Brain Project will last ten years and will consist of a ramp-up phase (from month 1 to month 36) and subsequent operational phases.

This Grant Agreement covers the ramp-up phase. During this phase the strategic goals of the project will be to design, develop and deploy the first versions of six ICT platforms dedicated to Neuroinformatics, Brain Simulation, High Performance Computing, Medical Informatics, Neuromorphic Computing and Neurorobotics, and create a user community of research groups from within and outside the HBP, set up a European Institute for Theoretical Neuroscience, complete a set of pilot projects providing a first demonstration of the scientific value of the platforms and the Institute, develop the scientific and technological capabilities required by future versions of the platforms, implement a policy of Responsible Innovation, and a programme of transdisciplinary education, and develop a framework for collaboration that links the partners under strong scientific leadership and professional project management, providing a coherent European approach and ensuring effective alignment of regional, national and European research and programmes. The project work plan is organized in the form of thirteen subprojects, each dedicated to a specific area of activity.

A significant part of the budget will be used for competitive calls to complement the collective skills of the Consortium with additional expertise.

Head researcher: MORTEN ANDREAS GEDAY

More information: Link to the project

Call: FP7

Summary:

The overall objective of this proposal is to develop a fast and cost-effective diagnostic tool for bacterial meningitis, i.e. the detection of Streptococcus pneumoniae and Neisseria meningitidis in cerebrospinal fluid. Kits, consisting of disposable sensing chips and separate detector units, will be developed. The tool shall be low priced and easy to use so that health workers with limited analytical training can employ the kits in the field The tool shall lead to a faster diagnosis, speeding up a targeted antibiotics treatment, thus improving the survival chances of the patient, while facilitating the identification of the infection source and the isolation of individuals, in order to halt the epidemics
The main project novelty is the use of aptamer receptors. Aptamers have several advantages over conventional antibodies e.g. significantly lower price, fast development and increased stability. Three sensor technologies will be developed aiming to obtain at least one commercial product by the end of the project. All technologies share the same aptamers and surface activation of the active area.
The project success depends on a tight and well-planned collaboration between partners. Partner 2 will develop the S. pneumoniae and N. meningitidis aptamers, and will provide already available micro-organism specific aptamers for parallel sensor development. The near-market technology is evanescent fluorescence, already commercialised by Partner 3. Adaptation of the aptamers and of the Eva-Sensor Chip, will be done and validated in collaboration with Partners 2 & 4. Partner 1 will develop sensors based on micro-electromechanical systems and liquid crystals. Either of these acoustic and volumetric technologies have, with limited commercial success, been used with molecular targets. Compared hereto targeting micro-organisms generate amplified signals. Partner 4 will design the fluidic chip incorporating the sensor. The resulting system will be commercialised by Partners 3 & 4¿

Head researcher: MARIA JESUS LEDESMA CARBAYO

More information: Link to the project

Call: FP7

Summary:

The scientific objective of the programme is to design, develop, and validate new imaging technologies to improve the performance and safety of therapeutic and interventional procedures. Improving therapy and surgery planning will be approached using multimodal imaging strategies, lesion and dysfunctional tissue characterization, efficient segmentation and image fusion techniques. Image guided therapy and intervention improvements will be pursued by designing the integration of new imaging modalities in the surgical workflow, providing new techniques to compensate for undesired motions as well as innovative methods and instruments to integrate new intraoperative imaging devices. Follow-up and therapy outcome is a major concern and will be approached using innovative methodologies to quantitatively assess and predict recovery and prognosis after therapy or surgery. Furthermore, concrete scenarios will be considered within the frameworks of interventional cardiac therapy and surgery and soft tissue organs therapy. New workflows will be proposed incorporating the new technologies in these concrete scenarios.

This project is a multidisciplinary initiative allowing the exchange of scientists among four research institutes with international recognition in medical imaging and biomedical engineering.

Head researcher: BRYAN STRANGE

More information: Link to the project

Call: FP7

Summary:

Emotions evoke a profound modulation of human cognition. Emotional events are susceptible to preferential perceptual processing and are more likely to be remembered than neutral ones. But how does the emotionality of a stimulus lead to enhanced perception and memory? The series of experiments proposed will investigate the underlying human neurobiological mechanisms by which emotion modulates these two cognitive processes. This will proceed through the integration of basic psychological tasks, human psychopharmacology and an examination of functional neuronal measures in humans, employing intracranial EEG recordings from patients with depth electrodes, magneto-encephalography (MEG) and functional magnetic resonance imaging (fMRI). The core hypothesis is that emotions evoke an amygdala-dependent modulation of other brain areas; higher-order visual cortex and hippocampus for effects on perception and memory, respectively. A central theme is that the noradrenergic (NA) system is critical for this interplay between different brain areas. Emotions can also evoke deleterious effects on memory, particularly for stimuli that precede the emotional event, but the mechanisms underlying this are also poorly understood. Initial experiments presented here will characterise the temporal profile of this retrograde amnesia, as well as the neuro-physiological and biochemical correlates. The next study, to be performed in the context of simultaneous EEG-fMRI recordings, tests whether response inhibition-induced associative memory impairment has a NA basis.
A final study examines how the spatial frequency of emotional stimuli modulates both perceptual and memory-related neuronal activity in healthy controls and patients with depression, a condition characterised by abnormal emotional processing. Thus, by employing a combination of neuroscience techniques, the proposed studies will address a number of critical, outstanding questions regarding the way in which emotion modulates cognition.

Head researcher: VICTOR MANUEL MAOJO GARCIA

More information: Link to the project

Call: FP7

Summary:

EURECA aims to build an advanced, standards-based and scalable semantic integration environment enabling seamless, secure and consistent bi-directional linking of clinical research and clinical care systems to:

1.Support more effective and efficient execution of clinical research by Allowing faster eligible patient identification and enrolment in clinical trials, Providing access to the large amounts of patient data, Enabling long term follow up of patients, Avoid the current need for multiple data entry in the various clinical care.

2. Allow data mining of longitudinal EHR data for early detection of patient safety issues related to therapies and drugs that would not become manifest in a clinical trial either due to limited sample size or to limited trial duration,

3. Allow for faster transfer of new research findings and guidelines to the clinical setting (from bench-to-bedside),

4. Enable healthcare professionals to extract in each patient’s case the relevant data out of the overwhelmingly large amounts of heterogeneous patient data and treatment information.

At the core of the project will be achieving semantic interoperability among EHR and clinical trial systems, consistent with existing standards, while managing the various sources of heterogeneity: technology, medical vocabulary, language, etc. This requires the definition of sound information models describing the EHR and the clinical trial systems, and capturing the semantics of the clinical terms by standard terminology systems. The scalability of the solution will be achieved by modularization, identifying core data subsets covering the chosen clinical domains. We aims to build an advanced, standards-based and scalable semantic integration environment enabling seamless, secure and consistent bidirectional linking of clinical research and clinical care systems to:

1.Support more effective and efficient execution of clinical research by Allowing faster eligible patient identification and enrolment in clinical trials, Providing access to the large amounts of patient data, Enabling long term follow up of patients, Avoid the current need for multiple data entry in the various clinical care.

2. Allow data mining of longitudinal EHR data for early detection of patient safety issues related to therapies and drugs that would not become manifest in a clinical trial either due to limited sample size or to limited trial duration,

3. Allow for faster transfer of new research findings and guidelines to the clinical setting (from bench-to-bedside),

4. Enable healthcare professionals to extract in each patient’s case the relevant data out of the overwhelmingly large amounts of heterogeneous patient data and treatment information.

At the core of the project will be achieving semantic interoperability among EHR and clinical trial systems, consistent with existing standards, while managing the various sources of heterogeneity: technology, medical vocabulary, language, etc. This requires the definition of sound information models describing the EHR and the clinical trial systems, and capturing the semantics of the clinical terms by standard terminology systems. The scalability of the solution will be achieved by modularization, identifying core data subsets covering the chosen clinical domains. We demonstrate and validate concepts developed in EURECA by implementing a set of software services and tools that we deploy in the context of pilot demonstrators. EURECA will develop solutions that fulfill the data

Head researcher: MARIA ELENA HERNANDO PEREZ

More information: Link to the project

Call: FP7

Summary:

MobiGuide (MG) will develop a patient guidance system that integrates hospital and monitoring data into a Personal Health Record (PHR) accessible by patients and care providers and provide personalized secure clinical-guideline-based guidance also outside clinical environments. MG's ubiquity will be achieved by having a Decision Support System (DSS) at the back end, and on the front end by utilizing Body Area Network (BAN) technology and developing a coordinated light-weight DSS that can operate independently. Personalization will be achieved by considering patient preferences and context. Retrospective data analysis will be used to assess compliance and to indicate care pathways shown to be beneficial for certain patient context.

MG will be validated on pre-selected clinical domains with intensive vs. sparse monitoring to demonstrate the generality of the design and assess functionality, feasibility, and impact.

MG addresses EU priorities: increasing patient safety, ubiquitous secure access to health care, patient empowerment, developing a common platform for healthcare services, and competitiveness of Europe.

The time is right for MG in view of Europe's vast interest in national PHRs and patient empowerment. MG will leverage this momentum to create a solution that goes beyond local proprietary and stand-alone EMR, DSS, and BAN.

Our team includes complementary partners with diverse experience in: patient guideline-based DSS, focusing on reasoning with patient guideline intentions and temporal patterns, decision-theoretic models, knowledge-data integration, and information visualization Health BAN, telemedicine data analysis for diabetes, telemedicine applications for cardiology and expertise in large system integration to create the secure PHR.

Head researcher: MANUEL FERRE PEREZ

More information: Link to the project

Call: FP7

Summary:

Neurological patients due to stroke may suffer from disrupted action due to cognitive deficits which prevent them from maintaining independent lives. CogWatch will focus on neurological patients with symptoms of Apraxia and Action Disorganisation Syndrome (AADS) who, while maintaining their motor capabilities, commit cognitive errors during every-day goal-oriented tasks which premorbidly they used to perform automatically. Most common rehabilitation ICT systems are focused on treating physiological symptoms of stroke, such as hemiparesis and are not appropriate for rehabilitation of cognitive impairments. Moreover, they are based on robot and/or virtual environment platforms which are expensive and impractical for home installations. In addition, they are designed as rehabilitation ‘stations’ which patients have to access and adapt to the way the systems operate. As a consequence, this affects the continuity of the therapy and weakens its impact. A new Personal Healthcare System (PHS) for cognitive rehabitation of action after stroke is proposed which will be be affordable, customisable and capable of delivering continuous cognitive rehabilitation at home, when it is needed. The proposed CogWatch project plans to exploit intelligent tools and objects, portable and wearable devices as well as ambient systems to provide personalised cognitive rehabilitation at home for stroke patients with AADS symptoms.

Head researcher: MARIA FERNANDA CABRERA UMPIERREZ

More information: Link to the project

Call: FP7

Summary:

As we move more inextricably into a digital economy there is a looming crisis for a growing number of increasingly marginalized individuals. The accessibility technologies we have are meeting the needs of only some, at high cost and will not work with many new technologies. In addition, the pace and path of technological change predestines these approaches to fail in the very near future. At the same time the incidence of disabilities is increasing as our population ages. The same technical advances however hold the key for a radical paradigm shift in our approach to accessibility that can harness the pace of innovation and have it work for us rather than against us.

The Cloud4All project taps the unprecedented ability to pool resources and match demand with supply enabled by the Cloud to deliver accessibility to every individual where they need it, when they need it and in a way that matches their unique requirements; automatically so that they do not need to negotiate, explain, qualify or justify.

Cloud4All pulls together a large multi-sector international community including stakeholders, industry leaders and experts in emerging technologies to thoughtfully design, research and develop the necessary software infrastructure, pilot implementation and evaluation needed to explore this promising approach to digital inclusion. The project will test this with a wide range of delivery options, contexts and platforms including auto-personalization of different OSs, browsers, phones, web apps, kiosks, ITMs, DTVs, smart homes and assistive technologies (cloud and installed).

This approach can enable us to reach the large group of users that do not qualify for or choose not to avail themselves of special services but nonetheless face barriers to access, including individuals with literacy challenges and individuals who are aging. Cloud4All will create a sustainable system that ensures that all individuals can participate in our rapidly advancing digitally enabled society.
 

Head researcher: VICTOR MANUEL MAOJO GARCIA

More information: Link to the project

Call: FP7

Summary:

AFRICA BUILD aims to improve capacity for health research and education in Africa, through Information Technologies (IT). It will provide innovative learning and research opportunities.

Background: The EU has supported many IT and health initiatives, with significant results. In contrast, there has been no significant transfer of expertise, methods and tools to neighbour countries in Africa.

Main objective: To promote health research, education and practice in Africa through the creation of centres of excellence, by using IT, know-how, e-learning and knowledge sharing through Web-enabled virtual communities. Initial EU-Africa transfer aims to create sustainable South-South communities of African researchers.

Sub-objectives:
(1) To analyse the state of the art in health research and education in Africa. A Roadmap for future European actions will be released.
(2) To implement an IT-enabled, open and collaborative infrastructure for education, training and knowledge sharing for health researchers in English-, French- and Arabic-speaking African countries, developing virtual communities of practice.
(3) To develop and offer a large number of e-learning courses, validated learning resources, methodologies and supporting evidence for improving the education capacities of health-focused centres of excellence in Africa.
(4) To facilitate researchers mobility and participation in local and international meetings.
(5) To validate the AFRICA BUILD impact in pilot research and education initiatives related to reproductive health and HIV/AIDS research.
(6) To disseminate outcomes in scientific conferences and journals, media and workshops and conferences in Africa.

Expected impact: Based on the experience of the partners including WHO we aim to improve know-how, research and technological capacities at the African centres of excellence. Successful actions will be transferred to other organizations and industry.

Head researcher: JAVIER DE FELIPE OROQUIETA

More information: Link to the project

Call: FP7

Summary:

The human brain can be seen as an immensely powerful, energy efficient, self-learning, self-repairing computer. If we could understand and mimic the way the brain works, we could revolutionize information technology, medicine and society. But to do so we have to bring together everything we know and everything we can learn about the inner workings of the brain's molecules, cells and circuits. The goal of the Human Brain Project (HBP) is to do this by integrating our knowledge in massive databases and in computer models of the brain. This will require breakthroughs in mathematics and software engineering and an international supercomputing facility more powerful than any before. This is all possible. Experimental and clinical data is accumulating exponentially. Computers powerful enough to meet the project’s initial requirements are already here.
An international team led by Europe’s best neuroscientists, doctors, physicists, mathematicians, computer engineers and ethicists have assembled to begin the mission. As technology progresses and the project discovers new principles of brain design it will build ever more realistic models to probe ever deeper principles. The benefits for society will be huge, even before the HBP achieves its final goals. Models of the brain will revolutionize information technology, allowing us to design computers, robots, sensors, prosthetics and other devices far more powerful, more intelligent and more energy efficient than today. They will help us understand the root causes of brain diseases, and to diagnose them early, when they can still be treated. They will reduce reliance on animal testing and make it easier to develop new cures for brain disease. They will help us understand how the brain ages, and how to slow these changes and nurture a healthy brain for our children. In summary, the HBP is poised to produce dramatic advances in technology, a new understanding of the way the brain works and a new ability to cure its diseases.

Head researcher: VICTOR MANUEL MAOJO GARCIA

More information: Link to the project

Call: FP7

Summary:

There is a strong need in biomedical research, especially in the case of complex heterogeneous diseases such as cancer, to achieve an all-comprising harmonization of efforts: To integrate the available data and knowledge in comprehensive models supported by interoperable infrastructures and tools, to standardize methodologies, and to achieve wide-scale data sharing and reuse, and multidisciplinary collaboration. INTEGRATE aims to build solutions that support a large and multidisciplinary biomedical community ranging from basic, translational and clinical researchers to the pharmaceutical industry to collaborate, share data and knowledge, and build and share predictive models for response to therapies, with the end goal of improving patient outcome. Moving away from empirical medicine, towards evidence-based personalized care has the potential to both dramatically improve patient outcome and to reduce costs. INTEGRATE will deliver reconfigurable infrastructure components; tools for sharing and collaboration; standards-based data models; and repositories of data, models and knowledge. The INTEGRATE environment will enable: Collection, preservation, management and reuse of data collected within multi-centric clinical trials. These unique comprehensive datasets will be made available through uniform interfaces to support information sharing and collaborative knowledge generation. Multi-disciplinary collaboration, providing an environment and tools that support researchers across domains, institutions and industries to jointly contribute to research objectives, develop common methodologies and complex analyses, and efficiently make use of each other¿s expertise and results. Collaborative definition and development of relevant clinical questions and more efficient validation of potential biomarker results and predictive models in clinical trials. Collaborative development, preservation and sharing of multi-scale realistic and validated predictive models of response to novel therapies and anti-cancer drugs. We will propose methodologies for model development, a modelling framework, and predictive multi-scale models in the context of breast cancer. INTEGRATE will also provide standards-based interoperability to existing research and clinical infrastructures to support efficient information reuse and integration.

Head researcher: VICTOR MANUEL MAOJO GARCIA

More information: Link to the project

Call: FP7

Summary:

Biomedical Informatics deals with the integrative management and synergic exploitation of the wide ranging and inter-related scope of information that is generated and needed in healthcare settings, biomedical research institutions and health-related industry. Some key present challenges of Biomedical Informatics are:

- The effective and synergic integration between computational methods and technologies supporting life sciences research (Bioinformatics) and the informatics supporting healthcare and medical research (Health or Medical Informatics).

- The development of effective translational knowledge management approaches facilitating the application of knowledge arising from basic biomedical research into clinical practice.

- The integration and joint exploitation of heterogeneous information stored in widespread repositories and diverse formats.

- The development of innovative methods for the modelling and simulation of complex biological phenomena, as well as the corresponding computational applications.

- The intersection between neuroscience and informatics (neuroinformatics). In this context, INBIOMEDvision aims to become a European-wide initiative intended to monitor the evolution of the Biomedical Informatics field and address its scientific challenges by means of collaborative efforts performed by a broad group of experts with complementary perspectives on the field. These efforts will certainly contribute to the strength and expansion of the Biomedical Informatics scientific community, particularly in Europe. INBIOMEDvision will develop a series of services and activities to serve the aforementioned purposes (inventory of resources and initiatives, state of the art reviews, prospective analyses, community-building actions and dissemination and training activities).

Head researcher: VICTOR MANUEL MAOJO GARCIA

More information: Link to the project

Call: FP7

Summary:

Medicine is undergoing a revolution that is transforming the nature of healthcare from reactive to preventive. The changes are catalyzed by a new systems approach to disease which focuses on integrated diagnosis, treatment and prevention of disease in individuals. This will replace our current mode of medicine over the coming years with a personalized predictive treatment. While the goal is clear, the path is fraught with challenges. P-medicine brings together international leaders in their fields to create an infrastructure that will facilitate this translation from current practice to personalized medicine. In achieving this objective p-medicine has formulated a coherent, integrated work plan for the design, development, integration and validation of technologically challenging areas of today. Our emphasis is on formulating an open, modular framework of tools and services, so that p-medicine can be adopted gradually, including efficient secure sharing and handling of large personalized data sets, enabling demanding Virtual Physiological Human (VPH) multi-scale simulations (in silico oncology), building standards-compliant tools and models for VPH research, drawing on the VPH Toolkit and providing tools for large-scale, privacy-preserving data and literature mining, a key component of VPH research. We will ensure that privacy, non-discrimination, and access policies are aligned to maximize protection of and benefit to patients. The p-medicine tools and technologies will be validated within the concrete setting of advanced clinical research. Pilot cancer trials have been selected based on clear research objectives, emphasising the need to integrate multilevel datasets, in the domains of Wilms tumour, breast cancer and leukaemia. To sustain a self-supporting infrastructure realistic use cases will be built that will demonstrate tangible results for clinicians. The project is clinically driven and promotes the principle of open source and open standards.

Head researcher: GUSTAVO VICTOR GUINEA TORTUERO

More information: Link to the project

Call: COST

Summary:

Regenerative medicine is a new discipline based on biomaterial development and increasing knowledge in cell science.

NAMABIO will be focused only in the interdisciplinary research related to biomaterials and stem cells of interest for the regenerative medicine of bones and teeth.

The aim of NAMABIO is to coordinate research efforts (very often loosely correlated) of several actors belonging to different disciplines necessary in order to obtain a real breakthrough in these areas.

In particular the partners of the present project are scientists involved in the following activities:

(a)processing of innovative biomaterials

(b) chemical, physical and mechanical characterization

(c) modeling of physical and mechanical properties

(d) stem cells loading on biomaterials, implantation on animals, and histological and molecular evaluation

(e) 3D structural characterization of tissue engineered bones and teeth by X-ray synchrotron microtomography (or holotomography)

(f) Biomedical evaluation of the results obtained in (e).

The networking action will be carried out by meetings, workshops and seminars, STSMs, schools conferences and common publications.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: FP7

Summary:

As the European population ages, more support is needed with fewer hands to cater for their needs. There is a huge market potential for Ambient Assisted Living (AAL) solutions, but adoption is limited because they require significant resources for implementation. To address this, universAAL will produce an open platform that provides a standardized approach making it technically feasible and economically viable to develop AAL solutions. The platform will be produced by a mixture of new development and consolidation of state-of-the-art results from existing initiatives. We recognize that this not only poses technical challenges but also raises issues of adoption and uptake. So work on establishing and running a sustainable community will achieve attention right from the start, with promotion of existing results gradually evolving into promotion of the universAAL platform, as it develops into one consolidated, validated and standardized European open AAL platform.

The platform will provide runtime support for the execution of AAL applications in accordance with a reference architecture, development support through core AAL services and an online developer depot of various development resources. It will provide community support, including an online uStore providing a one-stop-shop for AAL services and other resources. The general public will browse the uStore to find what they need; developers will use it as the one marketplace where they make their services available. The consortium is built of major industrial and research players in the field, including key participants from earlier projects. universAAL results will be standardized in European (CEN) and international (OMG, Continua) standardization bodies. We will work to build a community of European industry interested in keeping the universAAL platform alive after project completion.

Head researcher: ALFONSO VICENTE RODRIGUEZ-PATON ARADAS

More information: Link to the project

Call: FP7

Summary:

The main objective of BACTOCOM is to build a simple computer, using bacteria rather than silicon. Microbes may be thought of as biological "micro-machines" that process information about their own state and the world around them. By sensing their environment, certain bacteria are able to move in response to chemical signals, allowing them to seek out food, for example. They can also communicate with other bacteria, by leaving chemical trails, or by directly exchanging genetic information. We focus on this latter mechanism. Parts of the internal "program" of a bacterial cell (encoded by its genes, and the connections between them) may be "reprogrammed" in order to persuade it to perform human-defined tasks. By introducing artificial "circuits" made up of genetic components, we may add new behaviours or modify existing functionality within the cell. Existing examples of this include a bacterial oscillator, which causes the cells to periodically flash, and cell-based pollution detectors that can spot arsenic in drinking water. The potential for bio-engineering is huge, but the process itself is made difficult by the noisy, "messy" nature of the underlying material. Bacteria are hard to engineer, as they rarely conform to the traditional model of a computer or device, with well-defined components laid out in a fixed design. We intend to use the inherent randomness of natural processes to our advantage, by harnessing it as a framework for biological engineering. By allowing our system to evolve, we use natural selection to build new functional biological devices. We begin with a large number of simple DNA-based components, taken from a well-understood toolbox, which may be pieced together inside the cell to form new genetic programs. A population of bacteria then absorbs these components, which may (or may not) affect their behaviour. Crucially, the core of our bacterial computer is made up of engineered microbes that can detect how well they are performing, according to some external measure, such as how well they can flash in time with light pulses. The better bacteria are allowed to release their program components back into the environment in much larger numbers than the other, less impressive cells. As these "good" components are then increasingly taken up by the population of cells, in a continual cycle, we gradually refine the internal program, until the whole population performs well. There are many potential benefits to this work, from both a biological and ICT perspective. By evolving new functional structures, we gain insight into biological systems. This, in turn, may suggest new methods for silicon-based computing, in the way that both evolution and the brain have already done. In building these new bio-devices, we offer a new type of programmable, microscopic information processor that will find applications in areas as diverse as environmental sensing and clean-up, medical diagnostics and therapeutics, energy and security.

Head researcher: ENRIQUE JAVIER GOMEZ AGUILERA

More information: Link to the project

Call: FP7

Summary:

Modern medicine is irreversibly shifting towards less invasive surgical procedures. Conventional open surgery approaches are systematically being replaced by interventions that reduce access trauma and thereby minimise pain and hospitalisation periods for patients.

The downside of this approach is that it is highly demanding for the interventionalist, entailing unacceptable risks for the patient. In the perspective of patient safety, SCATh aims at minimizing these drawbacks specifically for a series of new and promising catheterization procedures. These procedures have the common denominator of dealing with cardiovascular disease, the main cause of death in the EU.

SCATh will provide the interventionalist with visual and haptic tools for robust and accurate catheter guidance, which will be developed through novel approaches, by fusing preoperative patient-specific anatomical and mechanical models and intra-operative data streams from in situ sensors. By complementing and augmenting the skills of the interventionalist, patient safety will drastically increase and at the same time, potentially life-threatening complications which result from poor or damaging (xray, use of contrast agents) visualisation or poor surgical technique can be avoided. The new concept for tracking, sensing, modelling and manipulation of the surgical environment will be integrated with existing technological state-of-the-art in close cooperation with clinical experts and industrial partners, both in the design and in the evaluation phases.

The common efforts delivered during this project will result in a demonstrator applied to a carefully selected set of catheter procedures. Moreover, many of the technological advancements created during SCATh touch upon minimally invasive surgical procedures in general.

Head researcher: MARIA FERNANDA CABRERA UMPIERREZ

More information: Link to the project

Call: FP7

Summary:

VERITAS aims to develop, validate and assess an open framework for built-in accessibility support at all stages of ICT and non-ICT product development, including specification, design, development and testing. The goal is to introduce simulation-based and VR testing at all stages of product design and development into the automotive, smart living spaces, workplace, infotainment and personal healthcare applications areas. The goal is to ensure that future products and services are being systematically designed for all people including those with disabilities and functional limitations. Specifically, VERITAS will develop:

  • An Open Simulation Platform (OSP) for testing at all development stages that will provide automatic simulation feedback and reporting for guideline/methodologies compliance and quality of service.
  • detailed virtual user physical, cognitive, behavioural and psychological models as well as the corresponding simulation models to support simulation and testing at all stages of product planning and development.
  • accessibility support tools at all the stages of iterative planning and development (i.e. specification, design, development, testing, evaluation) and for the five new application areas.
  • virtual simulation environments for ICT and non-ICT products offering tools for testing and verification mainly at the design stage but also during the development stages when links to ICT technologies are implemented.
  • a VR simulation environment for realistic and iterative testing providing simultaneous multimodal (visual, aural, etc.) feedback to the designer/developer as well as the potential for immersive realistic simulation and virtual persona testing (i.e. the developer taking the role of the end user).
  • a simulation environment that will support multimodal interface virtual testing in realistic scenarios that will offer the opportunity to fine tune and adapt these technologies to the specific application.

Head researcher: FRANCISCO DEL POZO GUERRERO

More information: Link to the project

Call: AAL

Summary:

TRAINUTRI AALs project aims to raise consciousness about self wellness, enabling the exchange of knowledge related to physical and nutritional healthy habits. The project will help people (seniors between 50 and 65 years from both sex) to develop healthy habits (keeping them physically active and actively involved into their health maintenance) and will enable people to share and exchange healthy habits related activities, experiences and knowledge allowing them to keep and enrich their social relationships while they age in their preferred environments. In order to accomplish this project, TRAINUTRI will therefore offer services oriented to achieve:

(1) A network of peers involved with the healthy living habits and goals (users and fellows, trainers, nutrition experts, etc.).

(2) Healthy eating habits evaluation and support for sensible nutrition.

(3) Adequate and enjoyable exercise evaluation and support for physical-mental training.

TRAINUTRI platform brings to users an environment configuring a scenario where:

1. Active elderly people who can exercise outdoors will use an exercise monitor linked to the TRAINUTRI platform. Their achievements will be recorded in the platform and advice will be fed back both as messages and under the supervision of a trainer. An expert system will be used to analyse data gathered and guide the users with feedback.

2. People with limited mobility will mainly exercise indoors, but in connection to a network of peers. Virtual reality tools will be the basis of these services.

3. Nutrition monitoring and advice. All clients of the TRAINUTRI platform will receive nutrition advice tailored to their needs (loose or gain weight, increase vegetable intake). To tailor this advice their weight and eating habits will be monitored.

4. Support and motivation from the network of peers. Information on the progress of each of the users will be made available to his/her group of peers.

The platform will be prepared to hold contests among groups of clients. Face to face activities related to training and healthy eating will be organised using the platform with the main aim of promoting social interaction and strengthening personal relationships among peers. On the other hand, the project is going to create a significant know-how which allows the development of a calculus theory to apply this knowledge to future projects on the telecare and ehealth industry.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: FP7

Summary:

PSYCHE project will develop a personal, cost-effective, multi-parametric monitoring system based on textile and portable sensing platform for the long and short term acquisition of data.The patient diagnosed with bipolar disorder will be placed at the epicentre of its management, for treatment and prevention of depressive and manic episodes.The system will use wearable and portable devices for acquiring, monitoring and communicating physiological parameters, behavioural and mood correlated indexes (i.e. vital body signs, biochemical markers and voice analysis).The acquired data will be processed and analyzed in the established platform that takes into consideration the Electronic Health Records (EHR) of the patient, the parameters set up in the first stage between bipolar and non-bipolar individuals, as well as medical analysis in order to verify the diagnosis and help in prognosis of the illness.

Finally communication and feedback to the patient will be performed through a direct contact with the patient and device, or by communication between physician and patient.Constant feedback and monitoring will be used to manage illness, to give patients support, to facilitate interaction between patient and physician as well as to alert professionals in case of patients relapse and depressive or manic episodes income.PSYCHE project will focus on the following objectives:

i) Implementation of a sensing platform physiological and behavioural monitoring for patients with bipolar disorders

ii) Development of novel portable devices for the monitoring of biochemical markers, voice analysis and a behavioural index correlated to mental illness

iii) Brain functionality: in order to correlate central measures o with clinical assessment and the parameters measured by Psyche platform iv) Data mining and managing: The ultimate goal is to identify signal trends indicating detection and prediction of critical events

v) The system will contain a patient and professional close loop

Head researcher: MARIA FERNANDA CABRERA UMPIERREZ

More information: Link to the project

Call: AAL

Summary:

REMOTE aims at defining and establishing a multidisciplinary and integrated approach to Research & Development (R&D) of Information & Communication Technology (ICT) for addressing, in real life contexts, identified needs of frail elderly, especially of citizens at risk due to geographic and social isolation in combination with chronic conditions, such as hypertension, arthritis, asthma, stroke, Alzheimer´s disease (AD), and Parkinson¿s disease (PD), and the coexistence of lifestyle risk factors, such as obesity, blood pressure, smoking, alcohol abuse, poor eating/drinking habits, stress, and low levels of physical activity. The project will advance the state-of-the-art in fields of tele-healthcare and ambient intelligence (AmI) by enhancing the elderly¿s personal environment with audio-visual, sensor/motoric monitoring, and automation abilities for tracing vital signs, activity, behaviour and health condition, and detecting risks and critical situations, as well as providing, proactively and reactively, effective and efficient support at home. To this end, scale-up of existing research prototypes and development of new systems for collecting human- and context-related data will be deployed in the course of the project. These include, on the one hand, wearables and sensors for detecting intra-oral miniature wetness and jaw movements, body temperature, blood pressure, heart rate, human posture and motion / acceleration recognition, etc., and, on the other hand, sensors and actuators to be installed in premises (and vehicles), for providing context information, e.g., air temperature, luminance, humidity, human location and motion, etc. Then, to fill-in the growing gap between urban and rural areas and address the risks involved in elderly living on their own (about 1 in 3) by enabling professional carer groups to identify and react to health risks by monitoring at anytime and from anywhere (remotely) such real-time, activity and medical data of elderly living in rural and isolated areas, the project introduces an innovative, ontology-driven, open reference architecture and platform that will enable interoperability, seamless connectivity and sharing of content among different services.

Head researcher: VICTOR MANUEL MAOJO GARCIA

More information: Link to the project

Call: CYTED

Summary:

Objetivo general

Contribuir a la creación de una comunidad amplia de científicos y tecnólogos en el ámbito iberoamericano que conozcan, desarrollen y evalúen las aplicaciones de la Convergencia de Tecnologías NBIC en el ámbito de la salud, desde una perspectiva de integración multidisciplinar y global, con el objetivo de fomentar las sinergias entre países, disciplinas y metodologías, prestando especial interés al impacto social de estos nuevos desarrollos.

Objetivos específicos

  • Fomentar la formación y la movilidad de investigadores.
  • Gestionar el conocimiento sobre las NBIC y sus aplicaciones en salud y divulgarlo a la comunidad científica y al público general.
  • Modelar escenarios de aplicación en medicina (prevención, diagnóstico, terapia) que sirvan para realizar ejercicios de prospectiva. Se prestará especial atención a la aplicación de NBIC a enfermedades complejas en las que la prevención y el impacto socio-sanitario son especialmente relevantes (e.g cáncer colorrectal).
  • Conocer la percepción social sobre estas disciplinas y su posible aplicación.

El proyecto de Red que aquí se solicita se alinea, en relación con la convocatoria, en la Actividad 1 (SALUD) y se orienta hacia el cumplimiento de los Objetivos 1 y 2 : -evaluar el impacto que tendrá la I+D en Tecnologías Convergentes en lo que se refiere al (1) desarrollo de nuevos sistemas y dispositivos que mejoren los aspectos preventivos, diagnósticos y terapéuticos y (2) en  lo que se refiere a un mejor conocimiento de las bases fisiopatológicas de las enfermedades, del los organismos vistos individualmente y también en su relación con el medio exterior.

En este sentido, la actividad de esta Red pretende contribuir a los resultados esperados por CYTED mediante: 

  • La elaboración de un Roadmap de las NBIC con respecto a los problemas específicos de los sistemas de salud en Iberoamérica y a sus implicaciones en las necesidades de formación y a las líneas de investigación. Esta actividad se basará en la metodología de diseño de escenarios y el trabajo de prospectiva.
  • Celebración de foros científicos sobre estas nuevas áreas del conocimiento. Que serán tanto presenciales (uno al principio y otro al finalizar la Red) como virtuales (congresos virtuales, formación en línea, foros de debate).
  • Recomendaciones públicas acerca de los nuevos requerimientos en formación que se derivan de los cambios sociales introducidos por la tecnología NBIC. Esto se realizará a partir de las experiencias e informes de los investigadores, especialmente de aquellos que realicen estancias en otros grupos, así como de los estudios de percepción social sobre estas disciplinas.

Hay que decir que varios de los grupos participantes han sido pioneros en nuestro entorno a la hora de apostar decididamente por las Tecnologías convergentes NBIC y sus esperados beneficios dentro de la Salud. Así, por ejemplo:

  • El Grupo del GAB-CNM ha sido el organizador de los Foros NBIC de 2005 y 2007, en Barcelona. Estos foros tuvieron un gran impacto en la comunidad investigadora de España y las principales ponencias y conclusiones han sido publicadas, en lo que representa una de las primeras referencias internacionales en esta área.
  • Tanto el grupo Coordinador (RNASA-IMEDIR) como otros de los grupos que integran la red (ISCIII, GIB) participaron en estos foros como expertos y por tanto, también han seguido la evolución del área desde sus orígenes.
  • En el grupo del ISCIII se convocó en el BOE en 2006 un concurso para una plaza de Investigador titular con el perfil: "Convergencia de tecnologías: aplicaciones en Salud" en la que podría ser una de las primeras ocasiones en las que una oferta pública de empleo reconoce el interés y especial preparación necesaria para las NBIC. La investigadora que obtuvo la plaza forma parte de esta propuesta de red.
  • Muchos de los grupos participantes han tenido experiencias en participación en anteriores redes CYTED (Telemedicina e Informática Médica, Bioinformática, microelectrónica)
  • Existen importantes lazos entre grupos integrantes de la propuesta y grupos líderes a nivel mundial no iberoamericanos (NCI, EU). Estos contactos aportarán su visión y experiencia a la red, aunque no formarán parte de ella como grupos.

Head researcher: MARIA FERNANDA CABRERA UMPIERREZ

More information: Link to the project

Call: FP7

Summary:

The ÆGIS project seeks to determine whether 3rd generation access techniques will provide a more accessible, more exploitable and deeply embeddable approach in mainstream ICT (desktop, rich Internet and mobile applications). We develop and explore this approach with the Open Accessibility Framework (OAF) through which we address aspects of the design, development and deployment of accessible mainstream ICT. The OAF provides embedded and built-in accessibility solutions, as well as toolkits for developers, for "engraving" accessibility in existing and emerging mass-market ICT-based products, thus making accessibility open, plug & play, personalised & configurable, realistic & applicable in various contexts; ÆGIS is placing users and their needs at the centre of all ICT developments.

Based on a holistic UCD, AEGIS identifies user needs and interaction models for several user groups, (users with visual, hearing, motion, speech and cognitive impairments as well as application developers) and develops open source-based generalised accessibility support into mainstream ICT devices/applications: A) desktop, B) W3C/WAI standards-abiding accessible rich web applications and C) embedded generalized accessibility in terms of user interfaces and applications running into standard (CDLC and CDC) as well as rich features cell phones and PDAs.

All developments are iteratively tested with hundreds of end users, developers and experts in three phases and 4 Pilot sites Europewide (in Belgium, Spain, Sweden and UK). The project includes strong industrial and end users participation (the participating Industries are among the market leaders in the corresponding mainstream ICT markets).

Head researcher: ENRIQUE JAVIER GOMEZ AGUILERA

More information: Link to the project

Call: CIP

Summary:

The CLEAR project proposes the implementation of e-rehabilitation services in 4 countries , with the ambition to scale it up after project completion and shown feasibility, to a European platform, likely to contribute substantially to the harmonization of e-health services in EU. The rationale behind the project is the HABILIS EUROPE concept, which aims at the establishment of a network of companies under a legal corporate entity, providing an expandable set of rehab-services across the whole EU, with significant potential to enhance the penetration of e-health services and optimization of healthcare resources. The CLEAR project, based on technological mature applications developed mainly within the H-CAD (IST -V Framework) and e-Ten Hellodoc projects, will provide the platform for the development of ¿home treatment protocols¿. These will be highly customizable by the healthcare professionals, who will be continuously involved in the system design and testing. The project plans to carry out 4 pilot tests in 4 countries (IT, ES, NL and PL) on home protocols and therapies developed on 4 types of pathologies usually affecting the elderly: neurological, orthopaedic, pneumonial disorders and chronic pain. The evaluation will be focused on the technical, organisational and legal feasibility of the service. Special attention will be paid to a systematic improvement and upgrade of the system based on the feedback of the users (both clinicians and patients). In its pilot phase, the project envisages to treat at least 1000 citizens. During the implementation substantial efforts will be made to refine the details of the financial plan, being the basis for the full deployment of the HABILIS network and to integrate new partnerships with health care institutions, technology providers, standardization bodies and associations of health care providers and patients.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: FP7

Summary:

NeoMark is a EC-FP7-IST project investigating an innovative strategy and develops the appropriate technologies to identify person-specific and disease-specific biomarkers for tumors, to assess recurrence risk and early identify relapses during follow-up. The project validates this approach Oral Squamous Cell Carcinoma (OSCC) that represents about 5% of all cancers, with a recurrence rate of about 25% to 50% over five years, 90% of which within two years from surgery. Knowing in advance which patients have the higher risk of disease reoccurrence would enable less invasive and earlier treatments, with the potential to improve patients survival and quality of life. A new approach to this problem requires the collection, aggregation and analysis of large sets of clinical data together with information on the biology of the disease and an advanced study of affected tissues by novel image-interpretation techniques to be applied on different diagnostic exams. NeoMark provides the powerful computational resources and accurate and refined analysis algorithms necessary to process this multi-dimensional and large amount of data, to find the characterizing factors, or biomarkers, uniquely identifying the OSCC disease, like a personalized ID card (or bioprofile) of OSCC for each specific patient. The NeoMark system will be able to detect the presence of such bioprofile from patient´s data collected at follow-up, even when no signs of relapse are evident, so early triggering therapeutic actions. NeoMark also intends to identify a reduced set of most relevant genomic biomarkers for each individual patient, which could be assessed by means of a portable RT-PCR lab-on-chip device for a fast relapse risk evaluation, based on genomic data from blood or tissue only, developed by ST Microelectronics. This innovative device would constitute, once approved through wide clinical trials, a powerful and low-cost diagnostic equipment.

Head researcher: ANDRES DE SANTOS LLEO

More information: Link to the project

Call: FP7

Summary:

The Virtual Physiological Human Network of Excellence (VPH NoE) proposal has been designed with 'service to the community' of VPH researchers as its primary purpose. Its aims range from the development of a VPH ToolKit and associated infrastructural resources, through integration of models and data across the various relevant levels of physiological structure and functional organisation, to VPH community building and support. The VPH NoE aims to foster the development of new and sustainable educational, training and career structures for those involved in VPH related science, technology and medicine, and will lay the foundations for a future Virtual Physiological Human Institute.

The VPH NoE constitutes a leading group of universities, institutes and organisations who will, by integrating their experience and ongoing activities in VPH research, promote the creation of an environment that actively supports and nurtures interdisciplinary research, education, training and strategic development. The VPH NoE will lead the coordination of diverse activities within the VPH initiative to deliver: new environments for predictive, patient-specific, evidence-based, more effective and safer healthcare; improved semantic interoperability of biomedical information and contribution to a common health information infrastructure; facile, on-demand access to distributed European computational infrastructure to support clinical decision making; and increased European multidisciplinary research excellence in biomedical informatics and molecular medicine by fostering closer cooperation between ICT, medical device, medical imaging, pharmaceutical and biotech companies.

The VPH NoE will connect the diverse VPH projects, including not only those funded as part of the VPH initiative but also those of previous EC frameworks and national funding schemes, together with industry, healthcare providers, and international organisations, thereby ensuring that these impacts will be realised.

Head researcher: VICTOR MANUEL MAOJO GARCIA

More information: Link to the project

Call: FP7

Summary:

ACTION-Grid is a Specific International Cooperation Project on healthcare information systems based on Grid capabilities and Biomedical Informatics (BMI) and nanoinformatics between Latin America, the Western Balkans and the European Union (EU). Members of the consortium have published pioneering scientific papers in Grid and BMI. They participated in the BIOINFOMED and SYMBIOMATICS studies that contributed decisively to the last two FPs of the EC. Main objective: ACTION-Grid will act as a multiplier of previous outcomes in Grid and BMI. ACTION-Grid will disseminate these outcomes in Latin America, the Western Balkans and North Africa. Subobjectives:

(1) To survey Grid-based and BMI initiatives in Europe, Latin America, the Western Balkans and North Africa. These results will be combined with data from a resourceome, an inventory of Grid/Nano/BMI methods and services, developed by the consortium.

(2) Based on previous EC-based projects, ACTION-Grid will foster training and mobility in Grid, BMI and nanoinformatics.

(3) To develop a White Paper, in collaboration with a panel of recognized experts. This document will be delivered to the EC to establish a future agenda covering the Grid/Nano/Bio/Medical Informatics areas and develop new plans in Latin America, the Western Balkans and North Africa.

(4) To disseminate ACTION-Grid, by means of: (a) An international symposium on Grid and BMI. This conference will be carried out in Europe, with two satellite conferences (b) Scientific publications, Dissemination strategies, such as a Website, Newsletters, Press releases, etc.

Expected impact: To expand previous initiatives to create a common health information infrastructure in Europe, and extending it to other regions. It will enhance cooperation between research centres, universities, hospitals, SMEs, public entities, and others. ACTION-Grid will expand the impact of EC achievements in Grid and BMI to researchers, educators, and health practitioners world-wide.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: FP7

Summary:

VAALID project aims at creating new tools and methods that facilitate and streamline the process of creation, design, construction and deployment of technological solutions in the context of AAL assuring that they are accessible and usable for senior citizens. The main objective of the project is to develop a 3D-Immersive Simulation Platform for computer aided design and validation of User- Interaction subsystems that improve and optimise the accessibility features of Ambient Assisted Living services for the social inclusion and independent living. The results of the project will support the design of the Human Interaction aspects of an AAL solution in all the stages of a user centred design methodology, putting in practice the guidelines for the verification and validation of the accessibility and usability facets. The VAALID system will be a productivity tool that will be used across all the stages of the User Centre Design cycle. The simulation environment is composed by software and hardware components that constitute a physical ensemble that in conjunction allow the ICT designer to implement actual Virtual Reality and Augmented Reality scenarios of AAL. It will be used to verify interaction designs and validate the accessibility of the AAL products by means of immersing the users in 3D virtual spaces. The ICT designer will be able to evaluate the suitability of the proposed solutions with a significant reduction of the global design and development cost. The use of the VAALID tools will help the European industrial players, ICT companies specialized in Human Factors and User Interaction design, Research and Academia in streamlining their respective business with regard to products and services for the Independent Living and Inclusion, creating new market opportunities. The project result will be evaluated during 6 months in two pilot sites with up to 100 users. The initial conditions and framework for the effective exploitation of the results will be set up.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: FP7

Summary:

Each year Cardiovascular Disease (CVD) causes over 1.9 million deaths in the EU, causing direct health costs of €105 billion. Coronary Heart Disease (CHD), half of all CVD deaths, is the single most cause of death in Europe. Heart Failure (HF) ¿ a CHD being the most frequent cause of hospitalization for people over 65 ¿ has 10 million patients in the EU. Current treatment of HF entails recommendations from clinicians on medication, diet and lifestyle. Patients only receive feedback at doctors visits, or when facing symptoms. Daily monitoring, close follow up, and help on treatment routine is lacking. Non-adherence to the treatment regime is a major cause of suboptimal clinical benefit. HeartCycle will provide a closed-loop disease management solution to serve both HF and CHD patients, including hypertension, diabetes and arrhythmias as possible comorbidities. This will be achieved by multi-parametric monitoring of vital signs, analysing the data and providing automated decision support, to derive therapy recommendations. The system will contain a patient loop interacting directly with the patient to support the daily treatment. It will show the health development, including treatment adherence and effectiveness. Being motivated, compliance will increase, and health will improve. The system will also contain a professional loop involving medical professionals, e.g. alerting to revisit the care plan. The patient loop is connected with hospital information systems, to ensure optimal and personalised care. Europe¿s health system is undergoing radical changes due to an aging population. It`s moving from reactive towards preventative care, and from hospital care to care at home. Tomorrow¿s patients will become more empowered to take their health into their own hands. New ICT is required to enable this paradigm shift. HeartCycle, coordinated by Philips ¿ leading in electronics and health care ¿, includes experts on textiles, ICT, decision support and user interaction.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: FP7

Summary:

The PERFORM project aims to tackle problems associated with the efficient remote health status monitoring, the qualitative and quantitative assessment and the treatment personalisation for people suffering from neurodegenerative diseases and movement disorders, such as Parkinson¿s disease (PD). The PERFORM project aspires to research and develop an innovative, intelligent system for monitoring neurodegenerative disease evolution through the employment of a wide range of wearable micro-sensors, advanced knowledge processing and fusion algorithms. Advanced sensors, attached to everyday personal gadgets (e.g. cloths, accessories) will be able to ¿sense¿ the user¿s behaviour and motor status and store the recorded data in a local portable/handheld computer. These data are then processed and seamlessly transmitted to the centralised system for further fusion, monitoring and evaluation. The system will be modular and extensible, to enable different combinations of measurements. An indicative list of measurements includes: tremor through accelerometers or gyroscopes and possibly ElectroMyoGram (EMG), skin conductivity and sweating through appropriate Galvanic Skin Response (GSR) sensors, SPO2 and pulse rate through a pulse oximeter sensor, bradykinesia, through the finger tapping, other similar tests using devices to detect finger pressure such as piezo-electric and eye blinking rate through ElectroOculoGram (EOG) measurements. All monitoring gadgets will be wirelessly connected and seamlessly integrated to produce a user-friendly and patient-customised monitoring tool. The recorded signals will be preprocessed and stored at the patient site. At the point of care (hospital centre), the supervisor health professionals will be able to remotely monitor their patients, personalise their treatment and medication schedules and generate statistical data, so as to study and evaluate the efficacy of medication and drugs on various patient groups, based on the patients¿ specific personal and medical characteristics.

Head researcher: MARIA FERNANDA CABRERA UMPIERREZ

More information: Link to the project

Call: FP7

Summary:

OASIS introduces an innovative, Ontology-driven, Open Reference Architecture and Platform, which will enable and facilitate interoperability, seamless connectivity and sharing of content between different services and ontologies in all application domains relevant to applications for the elderly and beyond.

The OASIS platform is open, modular, holistic, easy to use and standards abiding. It includes a set of novel tools for content/services connection and management, for user interfaces creation and adaptation and for service personalization and integration. Through this new Architecture, over 12 different types of services are connected with the OASIS Platform for the benefit of the elderly, covering user needs and wants in terms of Independent Living Applications (nutritional advisor, activity coach, brain and skills trainers, social communities platform, health monitoring and environmental control), Autonomous Mobility and Smart Workplaces Applications (elderly-friendly transport information services, elderly-friendly route guidance, personal mobility services, mobile devices, biometric authentication interface and multimodal dialogue mitigation and other smart workplace applications).

Applications are all integrated as a unified, dynamic service batch, managed by the OASIS Service Centre and supporting all types of mobile devices (tablet PC, PDA, smartphone, automotive device, ITV, infokiosk, ) and all types of environments (living labs, sheltered homes, private homes, two car demonstrators, public transport, DSRT, etc.) in 4 Pilot sites Europewide. As user friendliness and acceptability is a top priority for the project, a user-centred-design approach is followed along the service and application development.

Tested iteratively and thoroughly by hundreds of end users, their caregivers and other stakeholders, the OASIS platform and applications will be optimized and submitted for standardization by the purpose-established OASIS world-wide Industrial Forum.

Head researcher: MARIA TERESA ARREDONDO WALDMEYER

More information: Link to the project

Call: FP7

Summary:

The aim of METABO is to set up a comprehensive platform, running both in clinical settings and in every-day life environments, for continuous and multi-parametric monitoring of the metabolic status in patients with, or at risk of, diabetes and associated metabolic disorders. The type of parameters that will be monitored, in addition to ¿traditional¿ clinical and biomedical parameters, will also include subcutaneous glucose concentration, dietary habits, physical activity and energy expenditure, effects of ongoing treatments, and autonomic reactions. The data produced by METABO will be integrated with the clinical data and the history of the patient and will be used in two major interrelated contexts of care:

1. Setting up a dynamic model of the metabolic behavior of the individual to predict the influence and relative impact of specific treatments and of single parameters on glucose level.

2. Building personalized care plans integrated in the current clinical processes linking the different actors in primary and secondary care and improving the active role of the Patient.

The combined use of tools for predictive modelling and for the personalisation of the individual process of care will close the loop between the Patients, the Professionals involved and the Health Organisation. Mining the data produced by METABO will allow the identification of patterns and trends that will allow the fine tuning of the model and the prompt adjustment of the process of care. Three major clinical scenarios would achieve the best benefit from this close-loop approach:

1. Patients who do not reach an optimal metabolic control despite an optimalized clinical management. In these patients, the monitoring-and-modelling approach can be used by the patients and the medical team to identify specific therapeutic or lifestyle causes for sub-optimal glycemic control and provide specific suggestions for small, but significant changes in treatment, dietary habits and physical activity.

2. Patients who are at optimal/ acceptable metabolic control but who are at risk for hypoglycemia, especially if unaware of hypoglycemic symptoms. In these patients a continuous monitoring system would allow to identify early pre-symptomatic signs of hypoglycemic episodes with major advantages, especially in contexts where loss of coordination and consciousness might be life-threatening.

3. Patients who are exposed to continuous sudden changes in the environmental situation (i.e. frequent travelling, night shifts, etc.) and in geographical location and context of care.