Author

Yi-Kan Wang

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Preprint Aug 2026

A Multimodal Foundation Model for Longitudinal Patient Representation and Scalable Insight Generation in Oncology

The oFM is introduced, a foundation model developed on a real-world oncology cohort of 1.67 million cancer patients that integrates clinical trajectories with DNA, RNA, and H&E pathology and achieves a three-fold higher pooled and scale-normalized treatment-benefit AUTOC than baseline features.

E. Vorontsov, Yi-Kan Wang, A. Bozkurt et al. · 0 citations

Open access Jul 2026

End-to-end multimodal pathology foundation model with clinical dialogue.

PRISM2 demonstrates how language-supervised pretraining provides a scalable, clinically grounded signal for generalizable pathology representations, bridging human diagnostic reasoning and foundation model performance.

E. Vorontsov, George Shaikovski, Adam Casson et al. · Nature Medicine · 3 citations