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 for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

New Medical AI Tool Identifies more Case…

Investigators at Mass General Brigham have developed an AI-based tool to sift through electronic health records to help clinicians identify cases of long COVID, an often mysterious condition that can...

Jane Stephenson Joins SPARK TSL as Chief…

Jane Stephenson has joined SPARK TSL as chief executive as the company looks to establish the benefits of SPARK Fusion with trusts looking for deployable solutions to improve productivity. Stephenson joins...

NIH-Developed AI Algorithm Successfully …

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical research trials...

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

MEDICA 2024 and COMPAMED 2024: Medical T…

11 - 14 November 2024, Düsseldorf, Germany. "Meet Health. Future. People." is MEDICA's campaign motto for the future in the new trade fair year 2025. The aptness of the motto...