Author

Yu-Sheng Tan

3 papers indexed here

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Open access Aug 2026

RECON infers regions of interest from H&E images and reconstructs whole-slide molecular profiles at single-cell resolution

Spatial omics technologies resolve molecular expression and spatial architecture at single-cell resolution, but profiling whole slides remains costly. In practice, only a few regions of interest (ROIs) are profiled, leaving the rest of the tissue unmeasured. S2-omics was the first framework to unify ROI selection with...

Xin-Xing Yang, Ning-Hui Hao, Run-Ning Zhao et al. · bioRxiv · 0 citations

#artificial intelligence Preprint Sep 2026

Toward Personalized Sleep Guidance from Wearable Data Using Language Models

Experimental results demonstrate the method outperforms commercial general and medical LLMs and open-source models and human evaluation further supports the quality of the generated guidance and the feasibility of personalized sleep guidance with SLMs.

Yu-Sheng Tan, Run-Ning Zhao, Sofia Angel et al. · 0 citations

#artificial intelligence Preprint Aug 2026

SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning

SlideBank is introduced, a training-free framework that represents each WSI as a persistent, concept-indexed, and spatially grounded evidence bank and achieves over 99% rephrasing consistency and substantially reduces amortized inference cost through persistent evidence reuse.

Bei-Di Zhao, Gexin Huang, Ciro Zhang et al. · 1 citation