NEUROWEB

NEUROWEB project improves healthcare delivery achieving knowledge-based, personalised diagnosis and therapy through vertical integration of existing clinical and genetic databases.NEUROWEB stimulates the sharing of knowledge on cerebrovascular diseases using an on-line web platform.

The amount of biomedical information that can be accessed through the Internet has reached a level no one could have dreamt of just ten years ago. The success of the genome sequencing projects has created an enormous amount of data that cannot be manually analysed. Since disease phenotypes arise from complex interaction between genetic factors and environment, the value of high-throughput genomic research would be dramatically enhanced by associations with key patient data. These data are generally available but of disparate quality and sources.The development of a data management system which integrates genomic databanks, clinical databases, and data mining tools embedded into a common resource accessible to health care professionals would be extremely advantageous.

Ischemic stroke is a major health problem in the developed countries. It is a complex, multigenic disorder, since there are several subtypes and risk factors, and most of the cases have non-mendelian inheritance. The integration and the analysis of a large number of well-defined clinical, radiological and molecular data will improve the evidence on the different roles played by genetic and environmental risk factors in stroke pathophysiology.

Within the framework of cerebrovascular disease, the objectives of the NEUROWEB project are:

  • To integrate clinical and genetic databases of the participating centres, different for structure and language, into a single virtual database;
  • To query the genetic databanks containing human genetic profiles present on the web;
  • To generate new knowledge on single patients with cerebrovascular disease, in order to achieve personalised prevention, diagnosis and therapy;
  • To promote collaborative research practices among the research communities involved in the project in order to share and enhance knowledge in the neurological domain.

The final aim of the NEUROWEB project is to foster vertical integration between clinical and genetic data in other common and complex diseases (i.e. cardiovascular diseases and tumours), in order to improve and personalise healthcare delivery in EC.

For further information, please visit:
http://www.neurowebkc.eu

Project co-ordinator:
Istituto Nazionale Neurologico "Carlo Besta" (IT)

Partners:

  • Consiglio Nazionale delle Ricerche, Istituto di Tecnologie Biomediche (IT);
  • University of Milan – BICOCCA (IT)
  • Regione Lombardia (IT);
  • Erasmus University of Rotterdam (NL);
  • Medical School of Patras University (GR);
  • Orszagos Pszichiatriai es Neurologiai Intezet (HU);
  • University of Veszprém (HU);
  • SirseNet spa (IT);
  • Microsystems srl (IT);
  • Velti A.E. (GR)

Timetable: from 06/06 – to 05/08

Total cost: € 2.751.129

EC funding: € 1.883.500

Instrument: STREP

Project Identifier: IST-2006-518513

Source: FP6 eHealth Portfolio of Projects

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...

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 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...

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...

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...

AI Analysis of Colonoscopy Improves Asse…

In a new study, artificial intelligence (AI) matched and potentially exceeded the performance of gastroenterologists and conventional scoring in evaluating endoscopies of Crohn’s disease patients. The results, published in Clinical Gastroenterology...