Harsh Vardhan Jain

This paper develops a mathematical model to assess how incorporating toxicity feedback affects adaptive cancer therapy, finding that toxicity-induced treatment breaks can extend time to progression.

SMoRe GloS provides an efficient framework for global sensitivity analysis of agent-based models, achieving speedups while maintaining accuracy across different model complexities.

The paper models prostate cancer response to sipuleucel-T and androgen depletion using a deterministic model with standing variations to capture inter-individual heterogeneity, predicting an optimal combination therapy.