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AI in Cancer Research / AI+癌症研究AI Diagnostics & Imaging 2026

Thomas Fuchs

托马斯·富克斯

PhD

🏢Weill Cornell Medicine / Paige.AI(威尔康奈尔医学院 / Paige.AI)🌐USA

Dean of Artificial Intelligence & Human Health, Weill Cornell; Co-founder & Chief Scientist, Paige.AI威尔康奈尔人工智能与人类健康学院院长;Paige.AI联合创始人兼首席科学家

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Key Contributions

👥Biography 个人简介

Thomas Fuchs is a pioneer in computational pathology and the founding Dean of AI at Weill Cornell Medicine. He co-founded Paige.AI, which developed the first FDA-cleared AI product for cancer diagnosis in digital pathology. His research on large-scale weakly supervised learning from pathology slides has transformed automated cancer detection and grading.

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🧪Research Fields 研究领域

Computational Pathology计算病理学
Digital Pathology AI数字病理AI
Foundation Models Pathology病理学基础模型
Cancer Diagnosis Automation癌症诊断自动化
FDA-Cleared AI PathologyFDA批准AI病理学

🎓Key Contributions 主要贡献

First FDA-Cleared AI Cancer Pathology

Led development of Paige Prostate, the first FDA-cleared AI-powered digital pathology tool for prostate cancer diagnosis, marking a milestone for regulatory approval of computational pathology AI.

Large-Scale Weakly Supervised Pathology

Developed novel weakly supervised deep learning approaches trained on millions of MSKCC pathology slides, achieving pathologist-level cancer detection without pixel-level annotation.

Representative Works 代表性著作

[1]

Clinical-Grade Computational Pathology Using Weakly Supervised Consistency Training on Whole Slide Images

Nature Medicine (2021)

Demonstrated clinical-grade AI for prostate cancer detection using weakly supervised learning on 12,000+ slides.

[2]

Artificial Intelligence-Based Pathology for Gastrointestinal and Hepatobiliary Cancers

The Lancet Gastroenterology & Hepatology (2019)

Review of AI pathology advances for GI and hepatobiliary cancers and translation to clinical practice.

🏆Awards & Recognition 奖项与荣誉

🏆NYU Oustanding Alumni Award in Science & Technology
🏆Paige FDA Breakthrough Device Designation 2019
🏆NIH NCI U24 Computational Pathology Center Grant

📄Data Sources 数据来源

Last updated: 2026-01-15 | All information from publicly available academic sources

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