Dr. Igor Jurisica

AI is Not Enough: Explainable Biology for Improved Therapies: Integrative computational biology and AI help improving treatment of complex diseases by building explainable models. From systematic data analysis to improved biomarkers, drug mechanism of action, and patient selection, such analyses influence multiple steps of drug discovery pipeline. Data mining, machine learning, graph theory and advanced visualization help characterize interactome and drug orphans with accurate predictions, making disease modeling more comprehensive. Intertwining computational prediction and modeling with biological experiments will lead to more useful findings faster and more economically. Learning Objectives: Participants will learn about the main challenges and opportunities in precision medicine using artificial intelligence, big data analytics and integrative computational biology workflows