The main objective of the project is to utilize modern high-resolution molecular data (genetics, metabolomics, etc.) with the aim of integrating them (unifying) into patient registries, so that in combination with clinical and epidemiological data they can form an integrated environment of an innovative Smart-Electronic Health Record (E-EHR) with integrated clinical decision support/prediction subsystems to support the physician and the personalized therapeutic approach. Utilizing modern technologies for the management of large volumes of data and by constructing new algorithmic methods, the project focuses on improving the prognosis and clinical management of diseases, through understanding the genetic background of the disease in each patient individually, in order to determine the risk of developing both rare and common diseases such as cardiovascular diseases, metabolic diseases, various cancers, etc.

Coordinator of the project : Professor Pantelis Bagos
Scientific Director of the project : Professor Artemis Hatzigeorgiou