Course Description
Recent progress of Artificial Intelligence has been transforming the approaches of scientific research across various disciplines. Generative AI models, such as AlphaFold, have become indispensable tools in fundamental biomedical research. This course offers students an opportunity to explore the latest developments in generative AI applied to biomedicine. Topics include models and methods for the prediction of protein structure from sequences, characterization of genome functions and interactions, modeling of cellular structures and tissue organizations, single cell biology, and drug design. We will cover a variety of models, such as pre-trained biological foundation models, diffusion models, Monte Carlo methods, graph neural networks, etc. Through this course, students will gain a deep understanding of how generative AI can be leveraged to address complex challenges in biomedicine.
