Xin-Yuan Kang

AI‑Driven Multi‑Omics Integrative Model for Predicting Tumor‑Specific Drug Responses

An AI-driven multi-omics model using GDSC, CCLE, DepMap, CTRP, and TCGA data, integrating mutation, copy-number variation, RNA expression, DNA methylation, drug SMILES, and IC50/AUC responses is developed, demonstrating that multi-omics fusion and drug-structure modeling improve prediction stability and support interpr...