Mechanistic Learning Reveals Cell Fate Transitions Driving B-Cell Acute Lymphoblastic Leukemia Progression

Explore a 42-minute conference talk from the Fields Institute's Thematic Program on Mathematical Oncology, focusing on mechanistic learning in B-cell acute lymphoblastic leukemia. Delivered by Jeffrey West from Moffitt Cancer Center, the presentation delves into the reciprocal cell fate transitions driving disease progression. Gain insights into the intersection of ecology, evolution, and cancer as part of the "Ecology and Evolution of Cancer" series. Discover how mathematical models and mechanistic learning approaches contribute to understanding complex cellular dynamics in leukemia, potentially informing future treatment strategies and disease management.

Mechanistic learning reveals the reciprocal cell fate transitions that drive disease progression...