Sang‐Min Park

The paper integrates transcriptomic datasets to identify a conserved inflammatory-proliferative paradox in acquired resistance to immune checkpoint blockade across multiple models.

This paper introduces a hybrid AI framework for drug development that links clinical questions to pharmacokinetic simulations and decision support using PICO specifications and machine learning.

This study compares natural compounds with similar structures using physicochemical descriptors, molecular docking, and transcriptome data to improve in silico herbal medicine research.