Computational Modeling of Blood Cancer Evolution and Patient Prognosis

Explore a 47-minute lecture on computational modeling techniques for blood cancer evolution and patient prognosis. Delve into cutting-edge research presented by Thomas Stiehl from RWTH Aachen University as part of the Fields Institute's Thematic Program on Mathematical Oncology. Gain insights into how mathematical models are applied to understand the progression of blood cancers and predict patient outcomes. Learn about the intersection of ecology, evolution, and oncology in this specialized talk, which is part of the broader series on "The Ecology and Evolution of Cancer." Discover how computational approaches are revolutionizing our understanding of cancer dynamics and potentially improving treatment strategies.

Computational modeling of blood cancer evolution and patient prognosis