Postdoc Scientist Stanford University Mountain View, California, United States
Description: Over the past few years, we have seen an increasing use of machine learning and artificial intelligence in translational research and clinical practice. One area of particular interest is digital pathology, where AI has shown great potential to extract useful prognostic and predictive information. This session will provide an in-depth overview on how recent advances in multi-modal foundation AI can be used to improve diagnoses and guide treatment decisions.
Learning Objectives: - Demonstrate how multi-modal foundation AI can effectively combine images and text information to improve clinical decision-making. - Demonstrate how multi-modal foundation AI can integrate anatomical and molecular pathology for enhanced translational applications.
