Third Call for VPH NoE Exemplar Projects

This is the third and last call for proposals for VPH NoE Exemplar Projects (EPs), activities that are intended to reinforce VPH ToolKit development. Successful proposals will be awarded financing to hire a postdoc/engineer/programmer for 6 to 12 Person Months for work directly related to the VPH ToolKit.

The principal challenge we recognize in development of the VPH is the establishment of connections between domains of investigation with a view towards biomedical applications in a sustainable, long-term environment, targeting re-use and interoperability.

The VPH/Physiome project's vision is to establish an ICT and computational science framework for digital, personalised, and predictive medicine in the 21st Century. To link discoveries in molecular biology with clinical imaging and other technologies using computational physiology based on the mathematical and engineering sciences. And to link genotype to phenotype for human and other animal tissues through anatomically and biophysically based multiscale models of physiological structure and function, at the levels of cells, tissues, organs and organ systems.

Crucial to this are adherence to a set of reference standards (some still in progress) that constitute the foundation of the VPH Toolkit, and the need for Toolkit content to be of a sufficient quality that it will readily be accepted and used.

Submission deadline: Monday, April 25, 2011.
Notification of acceptance: no later than June 1, 2011.
Anticipated start date for selected projects: July 1, 2011.

Proposals must be submitted electronically by sending a PDF file (max. 5MB) to This email address is being protected from spambots. You need JavaScript enabled to view it.

1) Who can apply?
Any European laboratory interested in contributing to the improvement or uptake of the VPH NoE ToolKit can apply. It is not necessary to already be a member of the VPH NoE consortium. If your laboratory is not already a Core Member or General Member of the NoE, you may submit an EP proposal and apply concurrently for General Membership.

2) It is not obligatory for EPs to be part of an ongoing project. Nonetheless, it is an advantage to be part of a currently funded (national, local, EU) project, because the EP funding doesn't cover anything except 6 to 12 person months for work directly related to the VPH NoE, so it is best to use this to leverage a broader effort being funded by other means.

For further information, please visit:
http://www.vph-noe.eu

Related news articles:

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

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...