Decoding Cell Fates through Single Cell Genomics, Imaging, and Machine Learning

Explore cutting-edge research in single-cell genomics, imaging, and machine learning presented at the Variant to Function Symposium. Delve into Dr. Jian Shu's 34-minute talk on "Decoding Cell Fates through Single Cell Genomics, Imaging, and Machine Learning." Gain insights from the Assistant Professor at MGH and Harvard Medical School, and Associate Member at the Broad Institute, as he discusses innovative approaches to understanding cellular behavior and development. Learn about the latest advancements in deciphering complex biological processes using interdisciplinary techniques. Discover how these methods contribute to unraveling the mysteries of cell fate determination and their potential implications for biomedical research and therapeutic development.

Variant to Function Symposium: Jian Shu