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AI in Cancer Research / AI+癌症研究Computational Pathology

Thomas J. Fuchs

Ph.D.

🏢Mount Sinai / Paige.AI🌐USA

Dean of AI and Human Health; Co-founder, Paige.AI

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Key Papers
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Key Contributions

👥Biography 个人简介

Thomas Fuchs is a pioneer in computational pathology who developed the first FDA-approved AI system for cancer diagnosis (Paige Prostate). His work at Memorial Sloan Kettering and Mount Sinai has established deep learning methods for analyzing pathology images at scale. Fuchs co-founded Paige.AI to translate these innovations into clinical practice, revolutionizing how pathologists diagnose cancer.

Thomas Fuchs是计算病理学的先驱,开发了首个FDA批准的癌症诊断AI系统(Paige Prostate)。他在纪念斯隆-凯特琳和西奈山的工作建立了大规模分析病理图像的深度学习方法。Fuchs联合创立了Paige.AI,将这些创新转化为临床实践,彻底改变了病理学家诊断癌症的方式。

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🧪Research Fields 研究领域

Computational Pathology计算病理学
Deep Learning深度学习
Cancer Diagnostics癌症诊断

🎓Key Contributions 主要贡献

FDA-Approved AI

Developed first FDA-approved AI for pathology (Paige Prostate for prostate cancer detection).

Clinical AI Deployment

Pioneered deployment of AI pathology systems in clinical workflows.

Representative Works 代表性著作

[1]

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Nature Medicine (2019)

Multiple instance learning framework for clinical pathology AI.

📄Data Sources 数据来源

Last updated: 2026-03-05 | All information from publicly available academic sources

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