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

The Future of Medicine is Data

At the 2023 Annual J.P. Morgan Healthcare Conference, Owkin Co-founder and CEO Thomas Clozel, MD will outline how data is the future of medicine - from the development of new...

Study Surveys Landscape of Apps Built on…

A study led by Regenstrief Institute Research Scientist Titus K. Schleyer, DMD, PhD, is among the first to survey the current landscape of FHIR® apps, providing a snapshot of how...

New Computer Program 'Learns' to Identif…

Genetic mutations cause hundreds of unsolved and untreatable disorders. Among them, DNA mutations in a small percentage of cells, called mosaic mutations, are extremely difficult to detect because they exist...

Applications Open for SpinLab Accelerato…

The start-up accelerator supports entrepreneurial and innovative teams that want to grow sustainably and successfully scale their business model. With a strong hands-on mentality and a lot of passion, the...

Bayer to Accelerate Drug Discovery with …

Bayer AG and Google Cloud today announced a collaboration to drive early drug discovery that will apply Google Cloud's Tensor Processing Units (TPUs), which are custom-developed accelerators designed to run...

Allscripts Announces Corporate Name Chan…

Allscripts Healthcare Solutions, Inc. announced that, effective January 1, 2023, it has changed its name to Veradigm Inc. (NASDAQ: MDRX). Allscripts had been transitioning its solutions to the Veradigm brand...

220M€ Investment in Testing and Experime…

To make the EU the place where AI excellence thrives from the lab to the market, the European Union is setting up world-class Testing and Experimentation Facilities (TEFs) for AI. Together...

AI Tool Developed to Predict Risk of Lun…

Lung cancer is the leading cause of cancer death in the United States and around the world. Low-dose chest computed tomography (LDCT) is recommended to screen people between 50 and...

Artificial Nerve Cells - Almost Like Bio…

Researchers at Linköping University (LiU), Sweden, have created an artificial organic neuron that closely mimics the characteristics of biological nerve cells. This artificial neuron can stimulate natural nerves, making it...

Bayer Acquires Blackford Analysis Ltd. B…

Bayer announced the acquisition of the global strategic imaging AI platform and solutions provider Blackford Analysis Ltd. The acquisition is part of Bayer's strategy to drive innovation in radiology, including...

For Shared Decision-Making, Telemedicine…

Telemedicine may be just as effective as in-person visits when it comes to shared decision-making and communication for patients undergoing a first-time surgery consultation, according to a study published as...

Veradigm Announces Strategic Investment …

Veradigm Inc. (NASDAQ: MDRX), formerly Allscripts Healthcare Solutions, Inc., announced an investment in Holmusk, a global behavioral health real-world evidence and data analytics company, as part of Holmusk's $45 million...