Dept. of Biostatistics and Medical Informatics, School of Medicine,
Acibadem Mehmet Ali Aydinlar University, Istanbul, Türkiye

https://avesis.acibadem.edu.tr/ugur.sezerman

Personalized Medicine in the era of multiomics data and Artificial Intelligence

Abstract:
Advancements in Next Generation sequencing technologies pave the way to advancements in multiomics data access at cellular level. Integration of this data with clinical information and meta data enables us to understand individual disease development mechanisms. Artificial Intelligence approaches are needed to analyze 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 requires explainable AI models to be developed. This talk will summarize multiomics 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.