[Network science. Part 1 : in oncology in general].

Abstract

The overwhelming avalanche of data issued from the omics cascade, and particularly the mapping of protein-protein interaction (interactome), allows us to dissect the complexity and overlapping of diseases, as well as their management. With the help of theoretical and scientific bases issued form network science, as well as the rapid evolution of artificial intelligence, in particular machine learning (with its high speed and capacity), we are able today to uncover new driver genes, new biomarkers, new interactions with diagnostic and therapeutic modalities (even for an individual patient). It also opens new perspectives in the fields of prediction of response to treatment as well as prevention. The expectations are particularly high and diverse in health care. We take stock non-exhaustively on some applications in the field of oncology.