Seminario Omics Data-Based, AI-Driven Personalized Longevity Solutions

Advancements in Next Generation sequencing technologies pave the way to advancements in multi-omics data access at cellular level. Integration of this data with clinical information and meta data enable us to understand individual disease development mechanisms. Artificial Intelligence approaches are needed to analyse such a diverse large-scale data to model the diseases and find out parameters (biomarkers) that are used in these models. Transition from disease models to the daily practices in the clinic require explainable AI models to be developed. These AI-driven approaches enhance diagnostic precision while guiding the development of targeted therapeutic remedies. This talk will summarize multi-omics data and AI approaches used in personalized medicine applications. We will go over rare disease, cancer and neurological diseases applications of the AI models we built.