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

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...

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...

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...

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...