p-medicine

p-medicine

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.

For further information, please visit:
http://www.p-medicine.eu

Project co-ordinator:
Universität des Saarlandes

Partners:

  • CUSTODIX NV
  • THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
  • SWISS INSTITUTE OF BIOINFORMATICS
  • ECANCERMEDICALSCIENCE AG
  • NATIONAL UNIVERSITY CORPORATION HOKKAIDO UNIVERSITY
  • INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
  • A. PERSIDIS & SIA OE
  • GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
  • HEINRICH-HEINE-UNIVERSITAET DUESSELDORF
  • UNIVERSIDAD POLITECNICA DE MADRID
  • IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD
  • FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS
  • FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
  • PHILIPS ELECTRONICS NEDERLAND B.V.
  • UNIVERSITY COLLEGE LONDON
  • EUROPEAN RESEARCH AND PROJECT OFFICE GMBH
  • CHRISTIAN-ALBRECHTS-UNIVERSITAET ZU KIEL
  • INSTYTUT CHEMII BIOORGANICZNEJ PAN
  • ISTITUTO EUROPEO DI ONCOLOGIA SRL

Timetable: from 01/2011 to 01/2015

Total cost: € 18.480.000

EC funding: € 13.330.000

Programme Acronym: FP7-ICT

Subprogramme Area: ICT-2009.5.3 Virtual Physiological Human

Contract type: Collaborative project (generic)

Related news articles:

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...

Latest Business News

Latest Research News

Latest Conferences News

Latest Jobs