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Open access Sep 2026

Unlocking Sensitive Data with SPHERE in the Age of AI

Sensitive human data underpin discoveries across medicine, biology and the social sciences, yet privacy regulation often prevents sharing them with collaborators or artificial intelligence (AI) systems. We introduce SPHERE, a model-free method that makes sensitive datasets directly usable by AI and shareable for open s...

Zi-Huai He, Junyoung Park, R. C. Pulgrossi et al. · 0 citations
Open access Jul 2026

A benchmark study of vision and pathology foundation models for computational pathology

To advance precision medicine in pathology, artificial intelligence (AI)-driven foundation models must generalize across diverse datasets, tissues, and clinical tasks. However, their comparative performance and generalizability in computational pathology remain incompletely characterized. Here, we benchmark 32 AI found...

R. Bareja, F. Carrillo-Perez, Yuan-Ning Zheng et al. · 3 citations

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