DEVELOPMENT OF A MEDICAL DECISION SUPPORT SYSTEM FOR CANCER DIAGNOSIS USING CLINICAL AND GENOMIC DATAPERSON IN CHARGE: Maroulis Dimitris
FUNDED BY: COFUNDED BY THE MINISTRY OF EDUCATION OF GREECE AND THE EUROPEAN UNION
START DATE: 01/03/2004
END DATE: 31/12/2006
WEB SITE/E-MAIL: email@example.com
This research aims to the development of a novel medical decision support system for cancer diagnosis, using clinical and DNA patient data. The proposed system consists of two autonomous subsystems. Their outputs will be combined for the final diagnosis. The first subsystem will be using endoscopic video as input. It will provide information regarding the existence and the location of lesions. The research will focus to the development of novel methods for video analysis, real-time feature extraction, selection and classification. The second subsystem will be using DNA microarray data as input. Microarray data processing will determine the genes of which the expression is differentiated in the presence of cancer. The research will focus in data preprocessing, feature selection and cancer identification and/or prediction methods. Time consuming data processing algorithms will be implemented in Field Programmable Gate Arrays (FPGA), in order to achieve realtime performance. Different methodologies will be investigated for the subsystems’ fusion. Medical and biological evaluation of the fused integrated system’s results will be realized. The results of this research will be proven valuable for disease diagnosis and prediction and will be used for the determination of new pharmaceutical targets in the future.