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

Offered By: Fields Institute via YouTube

Tags

Mathematical Oncology Courses Hematology Courses Systems Biology Courses Computational Biology Courses Cancer Research Courses

Course Description

Overview

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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.

Syllabus

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


Taught by

Fields Institute

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