Sinergy: how semantics can improve early prevention of skin cancers

Abstract

Melanoma is the major source of deaths related to skin cancer. The project “Sinergy”, in cooperation with Lega Italiana Lotta Tumori (L.I.L.T.) and ADiTech s.r.l., aims at realising a Cloud-based and semantic-driven framework for screening and analysis of skin lesions. The framework aims at being an ubiquitous laboratory in Cloud, equipped with semantic-driven tools for making analysis, defining/executing/sharing in-silico experiments, mining laboratory data and activities. The engine kernel, a  multi-scale and multi-physics skin lesion ontology, not only makes intuitive any operation for non-expert users, but also  improves diagnostic processes thanks to the possibility ofglobally reasoning on skin lesion variables relative to different biological scales (e.g., genetic, molecular, cellular, tissutal ones) and  to not-biological ones (e.g., age, gender, location, geography, race).