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

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...