BIOPATTERN

BIOPATTERN is a groundbreaking project that integrates key elements of European research to underpin eHealth. The goal is to develop a pan-European, intelligent analysis of a citizen's bioprofile; to make the analysis of this bioprofile remotely accessible to patients and clinicians; and to exploit bioprofile to combat major diseases such as cancer and brain diseases.

Today, the ability to produce vast amounts of bio-data has vastly outstripped our ability to sensibly make use of the data for decision making.

A key objective of BIOPATTERN is to address the problem of fragmentation in this key area by bringing together key researchers to create a critical mass of specialists to promote the development of computational intelligence methods underpinning e-Healthcare. The idea is to move away from local solutions to local problems and towards European wide solutions to European problems.

The main objectives are:

  • Integration - to tackle and reduce fragmentation of existing research capacities in this area
  • Virtual Research Institute - to create a new research community
  • New opportunities - to identify how bioprofile could be exploited for healthcare, such as disease prevention, diagnosis and treatment
  • Roadmap - to identify gaps in knowledge, key challenges and to initiate joint activities to address them.
  • Standards - To identify technical and ethical issues on which guidelines and standards should be based with regard to the acquisition, transmission and analysis of a bioprofile
  • Societal challenges - To contribute to finding solutions to some of the demanding societal challenges in healthcare.

For further information, please visit:
http://www.biopattern.org

Project co-ordinator:
University of Plymouth

Partners:

  • University of Plymouth - Plymouth NHS Trust Hospitals - Aston University - University of Liverpool - University of Nottingham - Liverpool John Moores University - Nottingham Trent University - Sheffield Hallam University - BioElf Ltd - Gap Infomedia Ltd (UK)
  • Universita Degli Studi Di Firenze - Universita Degli Studi Di Pisa - Instituto Nazionale Per Lo Studio Cura Dei Tumori, Milano - Universita Degli Studi Di Milano - Synapsis S. R. L (IT)
  • University of Athens Medical School - Telecommunication Systems Institute - Technological Educational Institute of Crete - University of Crete, Medical Division - Aristotelio Panepistimio Thessalonikis - Hellenic Telecommunications & Telematics Applications Company SA (Forthnet) - Daedalus Informatics Ltd (GR)
  • Neoventor Medicinsk Innovation AB - University College Boras (SE)
  • Katholieke Universiteit Leuven Research & Development (BE)
  • Stichting Katholieke Universiteit (NL)
  • Instituto De Desenvolvimento De Novas Tecnologias - (UNINOVA) (PT)
  • Ecological University of Bucharest (FI)
  • University of Malta (MT)

Timetable: from 01/04 - 12/07

Total cost: € 12.800.000

EC funding: € 6.400.000

Instrument: NoE

Project Identifier: IST-2002-508803

Most Popular Now

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...