Use case MDS overview of results (both from a technical and clinical perspective) + specific onboarding requirements (e.g. minimal dataset).

Speakers: Saverio D'Amico & Elisabetta Sauta

Prof. Saverio D'Amico is AI Team Leader at the AI Center of the Humanitas Research Hospital institute in Milan. Always passionate about innovation and technology, Saverio graduated in biomedical engineering at the Polytechnic of Milan. With a background in artificial intelligence, consolidated thanks to the experience gained in business consultancy, he contributed to the development of several strategic innovation projects in the AI area. At Humanitas, he deals with Generative AI and synthetic data generation and is mainly active on the European projects GenoMed4All and Synthema, whose objective is the use of advanced and innovative technologies for personalized medicine, with particular attention to explainable AI processes. Since 2023 he has been CEO and CTO of Train, a spin-out of Humanitas specialized in the development of Generative AI technologies in the healthcare sector such as Synthetic Data and Digital Twin. 

Prof. Elisabetta Sauta, PhD, is a Bioinformatics Scientist at Humanitas AI Center with over 10 years of experience in translational cancer research. Her work focuses on developing integrative models to analyze clinical and -omics data through statistical and AI-based techniques for aiding clinical decision-making for personalized medicine.