Modeling Adoptive Cell Therapy in Bladder Cancer Using Physics-Informed Neural Network with Adaptive Loss Weighting
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Overview
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Explore how physics-informed neural networks can model adoptive cell therapy in bladder cancer through this 15-minute conference talk that demonstrates the application of adaptive loss weighting techniques to enhance mechanistic learning approaches in mathematical oncology.
Syllabus
Kayode Olumoyin: "Modeling Adoptive Cell Therapy in Cancer Using Physics-Informed Neural Network"
Taught by
Mathematical Oncology