preDiCT

Many drugs fail to reach the market because of side effects on the heart. The principal objective of this proposal is to create an advanced computational technology for in silico assessment of the efficacy and safety of specific drugs [ICT-2007.5.3(c) (3)], i.e. an open environment comprising validated computational models, tools and numerical methods that will enable simulations of drug actions on the electrophysiology of the human heart.

Such simulations will involve modelling of drug interactions at the molecular and cellular level, will extend current technology to enable prediction of the effects of those interactions on the dynamics of the whole heart, and will lead to an understanding of how genetic factors can be used to assess patient-specific risk profiles. This requires a multi-level systems approach, based on multi-scale, multi-physics methods, including computations on adaptive spatial grids and multi-grid time integration. Computations on realistic models at appropriate spatial and temporal scales are currently not feasible, so we will investigate new algorithms and their implementation on high-performance platforms, including a new generation of petaflop computers, to achieve 'faster than real-time' simulation.

These tools form part of the infrastructure required to simulate the physiology of major organ systems, thereby contributing to the goal of creating the Virtual Physiological Human (VPH) [ICT-2007.5.3]. The balanced team in this project, including founders of the Human Physiome Project, has decades of experience in the experimental study and modelling of the electrophysiology and mechanics of the heart, while pharmaceutical industry partners bring deep understanding of the mechanisms of drug actions. The results will demonstrate the value of the VPH initiative to fundamental scientific understanding of the heart, with major economic and clinical impacts through accelerated drug development, approval and use.

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

Project co-ordinator:
The Chancellor, Master and Scholars of the University of Oxford

Partners:

  • F. Hoffmann-La Roche AG
  • Szegedi Tudományegyetem
  • Fujitsu Laboratories of Europe Limited
  • Glaxo Smithkline Research and Development
  • Universidad Politécnica de Valencia
  • Centro di Ricerca, Sviluppo e Studi Superiori in Sardegna
  • Novartis Pharma AG
  • Aureus Pharma SA

Timetable: from 06/2008 – to 05/2011

Total cost: € 5.545.692

EC funding: € 4.100.000

Programme Acronym: FP7-ICT

Subprogramme Area: Virtual physiological human

Contract type: Collaborative project (generic)


Related news article:

Most Popular Now

Philips Launches HealthSuite System of E…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced the HealthSuite System of Engagement, an integrated, modular set of standards-based capabilities that support the development...

AI may Help Spot Newborns at Risk for Mo…

An artificial intelligence (AI) device that has been fast-tracked for approval by the Food and Drug Administration may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP)...

International Scientific Symposium DigiH…

13 November 2020, Pfarrkirchen, Germany DigiHealthDay @DIT-ECRI is going to be a daylong action-packed event targeting primarily academia - from established researchers, to young scientists and students. Following the theme "How...

Siemens Healthineers Introduces Teamplay…

Siemens Healthineers announces market introduction of the teamplay digital health platform. With the teamplay digital health platform Siemens Healthineers paves the way for healthcare providers' digital transformation - facilitating easy...

Digital Heart Model will Help Predict Fu…

In recent times, researchers have increasing found that the power of computers and artificial intelligence is enabling more accurate diagnosis of a patient's current heart health and can provide an...

Fighting Hand Tremors: First comes AI, t…

Robots hold promise for a large number of people with neurological movement disorders severely affecting the quality of their lives. Now researchers have tapped artificial intelligence techniques to build an...

Oxford University Provide Evidence for C…

A team of medical research and bioethics experts at Oxford University are supporting several European governments to explore the feasibility of a coronavirus mobile app for instant contact tracing. If...

Portable AI Device Turns Coughing Sounds…

University of Massachusetts Amherst researchers have invented a portable surveillance device powered by machine learning - called FluSense - which can detect coughing and crowd size in real time, then...

Buddy Healthcare Launches COVID-19 Remot…

Buddy Healthcare wants to help hospitals and healthcare professionals in the battle against the COVID-19. BuddyCare virtual care platform can be used for not only symptom tracking, remote monitoring and...

Preventicus Appoints Ljubisav Matejevic …

Preventicus is proud to announce that the company continues to grow by bringing its unique, comprehensive care management programs for prevention of strokes and cardiovascular events to new international markets...

Philips Ramps Up Production of Critical …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced that it is increasing the production of certain critical care products and solutions to help diagnose and...