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

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...