Y. M. Kim

This study identifies subtype-specific mutational mechanisms and links them to host metabolic factors in endometrial cancer using genomic and transcriptomic data from 440 tumors.

This study uses low-coherence holotomography to track adipocyte differentiation and lipid droplet dynamics over 42 days without labeling.

This study shows that Beclin1-deficient adipocytes promote tumor progression via YAP/TAZ signaling, and inhibiting this pathway reduces tumor growth in mice.

This paper introduces a label-free imaging cytometry method using deep learning to predict subcellular features from reflectance microscopy, achieving higher accuracy and throughput for single-cell analysis.