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Colon cancer treatment by discovering mutations on tumour suppressor genes

Objectif

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. The colon cancer automated diagnosis system is a computer-based platform that addresses doctors, biologists, cancer researchers and pharmaceutical companies.

The project goal is to perform medical integration between medicine and molecular biology by developing a framework where colon cancer diseases will be efficiently handled. Through this integration real time conclusion can be drawn for early diagnosis and more effective colon cancer treatment. The constitution of the system is based on a) colon cancer clinical data and b) biological information that will be derived by data mining techniques from genomic and proteomic sources.

The advanced role of GRID based technologies together with the new applied scientific algorithms/methods for genomic and proteomic discovery will result to a high-end system with straightforward results in colon cancer treatment. The utilization of results from the medical diagnosis system will contribute at the human health care section for the early diagnosis, pharmaceutical research and drug development on colon cancer.

Champ scientifique (EuroSciVoc)

Programme(s)

Thème(s)

Appel à propositions

Données non disponibles

Régime de financement

STREP - Specific Targeted Research Project

Coordinateur

FONDAZIONE ISTITUTO ONCOLOGICO DEL MEDITERRANEO
Contribution de l’UE
Aucune donnée
Adresse
VIA PENNINAZZO 7
95029 VIAGRANDE
Italie
Coût total
Aucune donnée

Participants (7)