Aaron Li

This paper develops a mathematical model of tumor-immune dynamics under ICI therapy to predict pseudoprogression and trains a classifier using tumor and ctDNA data to improve progression classification.

The paper develops a pharmacokinetic model for ctDNA shedding under targeted therapy and evaluates a biomarker using early ctDNA samples, achieving high sensitivity and specificity.

This study develops a framework to design ctDNA biomarkers for cancer treatment response by modeling ctDNA kinetics and simulating virtual patient cohorts.