VPH 2012 Conference of the Virtual Physiological Human Network of Excellence

18 - 20 September 2012, London, UK.
VPH 2012 will be an international conference on computational biomedicine, with a clear focus on the integrative aspects of VPH. Special attention will be given to the 'Digital Patient' as well as 'health forecasts'. VPH 2012 aims at reaching outside of the VPH community to other equally important communities: systems biology and genomics.

VPH 2012 is supported by the European Commission ICT for Health / DG Information Society and Media. The Virtual Physiological Human Network of Excellence is an umbrella project representing the Virtual Physiological Human Initiative set up by the European Commission with a budget of ~ 207 million Euros for the Framework 7 Program.

Four parallel sessions will be held on all days with talks and dedicated poster sessions. Similar to the format of the VPH 2010 - where after the meeting, the best VPH 2010 papers and posters were published in Interface Focus in a special themed issue on the Virtual Physiological Human.

Conference Theme Tracks:

1. Physiome: multiscale modelling of physiology and pathology
(Track chairs: Peter Hunter and S Randall Thomas)

1. Neuromusculoskeletal system
2. Cardiovascular and respiratory systems
3. Internal organs and metabolic modelling
4. Lymphatic and immune systems
5. Neurocognitive modelling
6. ... (any other system)

2. Virtual Physiological Human: infrastructures and technologies for integrative biomedical research
(Track chairs: Rod Hose and Ryutaro Himeno)

1. VPH Infostructure technologies
2. Data and model repositories
3. Multiscale modelling technologies
4. Clinical applications of multiscale modelling
5. Software, platforms and workflows

3. Digital Patient: ICT for integrating data, information, and knowledge in the clinical practice
(Track Chairs: Dipak Kalra and Marco Viceconti)

1. Multiscale visualisation
2. Integrative user interfaces for medical professionals
3. Clinical data fusion and integration
4. Integrative management of clinical information & health informatics
5. Hybrid personalised / population modelling
6. ... (other)

4. System Medicine: bridging Physiome / VPH and Systems Biology
(Track chairs: Adriano Henney and Hans Westerhoff)

1. Tissue modelling: missing link between cells and organs
2. PDE - ODE integration in tissue-cell multiscale models
3. Downward causation

5. Genomics, proteomics and bioinformatics
(Track chairs: Paul Kellam, Ferran Sanz & Nour Shublaq)

1. "Omics" research and its connection to the medical/clinical context. Case studies
2. Whole-genome analysis
3. Disease-based genomic studies
4. Tools and techniques
5. Integrated high-throughput analysis

6. Personal Health Forecasting: next-generation technology for Active and Healthy Ageing
(Track chairs: Filippo Castiglione and Emanuela Merelli)

1. Technology for Active and Healthy Ageing
2. Sensor-model integrated systems
3. Design of Public Health Interventions
4. Data security and storage in clinical applications in this context
5. Case studies - applications in clinical practice
6. ...(other)

7. In-silico clinical trials: integrative information management and integrative modelling to develop and assess medicines, medical devices, tissue engineering, and biotechnology products
(Track Chairs: Norbert Graf and Peter Kohl)

1. Toward deployment: technical assessment and clinical assessment
2. Verification, sensitivity, validation, benchmarking, accuracy, efficacy
3. Cost-benefit analysis & case studies
4. Regulatory aspects

VPH 2012 Scientific Committee

  • Peter Coveney, University College London (Chair), UK
  • Vanessa Diaz, University College London, UK
  • Stephen Emmott, Microsoft Research Laboratory, UK
  • Norbert Graf, University of Saarland, DE
  • Peter Hunter, University of Auckland, NZ
  • Paul Kellam, Wellcome Trust Sanger Institute, UK
  • Peter Kohl, Imperial College London, UK
  • Ferran Sanz, Universitat Pompeu Fabra, ES
  • Jesper Tegner, Karolinska Institutet, SE
  • Marco Viceconti, University of Sheffield, UK

VPH2012 Organisation Office

  • Tara Chapman, Universite Libre de Bruxelles, BE
  • Katherine Fletcher, University of Oxford, UK
  • Miriam Mendes, University College London, UK

For further iformation and registration, please visit:
http://www.vph-noe.eu/vph2012

About the VPH Network of Excellence
The VPH Network of Excellence (VPH NoE) is designed to foster, harmonise and integrate pan-European research in the field of i) patient-specific computer models for personalised and predictive healthcare and ii) ICT-based tools for modelling and simulation of human physiology and disease-related processes.

The main objectives of the VPH Network of Excellence are to support the:

  • Coordination of research portfolios of VPH NoE partners through initiation of Exemplar integrative research projects that encourage inter-institution and interdisciplinary VPH research.
  • Integration of research infrastructures of VPH NoE partners through development of the VPH ToolKit: a shared and mutually accessible source of research equipment, managerial and research infrastructures, facilities and services.
  • Development of a portfolio of interdisciplinary training activities including a formal consultation on, and assessment of, VPH careers.
  • Establishment of a core set of VPH-related dissemination and networking activities which will engage everyone from partners within the VPH NoE/other VPH projects, to national policy makers, to the public at large.
  • Creation of Industrial, Clinical and Scientific Advisory Boards that will jointly guide the direction of the VPH NoE and, through consultation, explore the practical and legal options for real and durable integration within the VPH research community.
  • Implementation of key working groups that will pursue specific issues relating to VPH, notably integrating VPH research worldwide through international physiome initiatives.

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...