The aim of this MISE financed project is to create a prototype of a federated learning infrastructure for clinical and omic data. While machine learning is increasingly becoming a key asset for rationalizing clinical and omic data, the practical application of these methodologies bring to the stage the patients privacy preservation issue. Federated learning represents a technique to both take advantage of several hospitals data and at the same granting that data never leaves the hospitals themselves, hence rendering the approach privacy-preserving by design. In this project we will deal with omic data including: metabolomics, genomics, lipidomics, imageomics and clinical data. This project has several industrial and clinical partners which will bring their own expertise and data to validate the prototype.
IIT Projects Search
Piattaforma per la medicina di precisione. Intelligenza Artificiale e diagnostica clinica integrata