Author

Yufei Huang

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Review Open access Sep 2026

Unifying AI-assisted scientific discovery around exploration, hypothesis generation, and testing

Summary Large language models (LLMs) and agent systems increasingly support scientific discovery across domains. Yet the literature remains fragmented around isolated tasks, with limited attention to how components form integrated workflows. Here, we introduce exploration, hypothesis generation, and testing (EXHYTE) as...

Musaddaqul Hasib, Sumin Jo, Harsh Sinha et al. · Patterns · 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. · Bioinformatics · 0 citations