MATCH

MATCH project entitle the development of an automatic diagnosis system that aims to support treatment of colon cancer diseases by discovering mutations that occurs to tumour suppressor genes (TSGs) and contributes to the development of cancerous tumours.

Colorectal or colon cancer is a significant cause of mortality in Western populations.This cancer develops as a result of the pathologic transformation of normal colonic epithelium to an adenomatous polyp and ultimately an invasive cancer. Like most cancers, colorectal cancers have multiple causes, many of which remain unknown. Each of these conditions is caused in part by a known genetic mutation. Mutations in two classes of genes, tumour suppressor genes (TSGs) and proto oncogenes are thought to impart a proliferative advantage to cells and contribute to development of the malignant phenotype development and differentiation. Mutations are alterations in genetic material and take place in the genes, which are found in the long, chain like molecules of deoxyribonucleic acid (DNA). Genetic damage that occurs to these genes contributes to the development of a cancerous tumour.

MATCH goal is the development of an automated diagnosis system concerning the support of the treatment of colon carcinoma.The whole process is associated with the field of biological therapies for colon cancer tumours.The colon cancer automated diagnosis system (by discovering mutations on TSGs) is a computer based platform that addresses doctors, biologists, cancer researchers, pharmaceutical companies and medical staff.

For further information, please visit:
http://www.match-project.com

Project co-ordinator:
FONDAZIONE ISTITUTO ONCOLOGICO DEL MEDITERRANEO

Partners:

  • Fondazione IOM (IT)
  • University of Patras (GR)
  • Spirit A.E. (GR)
  • TBS G.B.Telematic &Biomadical Services Limited (UK)
  • Sineura Spa (IT)
  • Sheffield Hallam University (UK)
  • Team Consulting Polska Sp.zo.o (PL)
  • Jagiellonski University (PL)

Timetable: from 01/06 – to 07/08

Total cost: €2.974.889

EC funding: €2.015. 033

Instrument: STREP

Project Identifier: IST-2005-027266

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Experts Propose Specific and Suited Guid…

Current Artificial Intelligence (AI) models for cancer treatment are trained and approved only for specific intended purposes. GMAI models, in contrast, can handle a wide range of medical data including...

A Record Year with More than 800 Exhibit…

9 - 11 April 2024, Berlin, Germany. DMEA 2024 kicks off today, focusing on the key issues in the digital transformation of the healthcare system. From now until 11 April over...

Herefordshire and Worcestershire Health …

Herefordshire and Worcestershire Health and Care NHS Trust has successfully implemented Alcidion's Miya Precision platform to streamline bed management workflow across seven community hospitals in Worcestershire. The trust delivers community...

New Horizon Europe Funding Boosts Europe…

The European Commission has announced the launch of new Horizon Europe calls, with a substantial funding pool of over €112 million. These calls are aimed primarily at pioneering projects in...