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Po-Yuan Chen

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Oct 2026

TESERA: morphologic subtyping and prognostic stratification of hepatocellular carcinoma from H&E whole-slide images.

BACKGROUND AIMS Hepatocellular carcinoma (HCC) remains among the most lethal cancers worldwide, yet few tools exist to characterize HCC biology and stratify patient risk at the point of care. We developed TESERA (Tissue Encoded Subtype Elucidation and Risk Assessment), a computational pathology framework that derives b...

Tyler M. Yasaka, Shaila Afrin, Po-Yuan Chen et al. · 0 citations
Open access Aug 2026

Multimodal contrastive learning for integrating molecular representations and cellular phenotypes in drug-target interaction prediction

A two-stage contrastive learning framework integrating drug structures, protein sequences, and Cell Painting morphological profiles into a unified embedding space, which reveals pathway-specific morphological signatures associated with drug targets, providing biologically interpretable insights into drug mechanisms.

Ying-Ju Lai, Tianyuzhou Liang, Po-Yuan Chen et al. · 0 citations

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