2026/03/31
子計畫四
【講座】2026.4.23 Pathology AI That Works for Everyone, Everywhere: Advancing Cancer Care Across Populations
日期：2026年4月23日
時間：中午12:30-13:20
地點：公衛大樓 5樓 505室
Speaker : Kun-Hsing Yu, MD, PhD
Associate Professor of Biomedical Informatics, Harvard Medical School
Abstract:
Artificial intelligence (AI) is reshaping the landscape of cancer research and clinical diagnosis. Recent advances in microscopic image digitization, multi-modal machine learning algorithms, and scalable computing have enabled AI-powered pathology at an unprecedented scale. In this talk, I will highlight recent breakthroughs in uncertainty-aware pathology foundation models and their effectiveness in analyzing high-resolution digital pathology images. In addition, I will present new approaches in fairness-aware pathology AI that mitigate performance differences across populations and institutions. Furthermore, I will discuss recent studies that leverage AI to uncover novel connections between cell morphology and molecular profiles. Finally, I will outline persistent challenges and future directions in developing robust, generalizable, and clinically deployable medical AI systems.
Artificial intelligence (AI) is reshaping the landscape of cancer research and clinical diagnosis. Recent advances in microscopic image digitization, multi-modal machine learning algorithms, and scalable computing have enabled AI-powered pathology at an unprecedented scale. In this talk, I will highlight recent breakthroughs in uncertainty-aware pathology foundation models and their effectiveness in analyzing high-resolution digital pathology images. In addition, I will present new approaches in fairness-aware pathology AI that mitigate performance differences across populations and institutions. Furthermore, I will discuss recent studies that leverage AI to uncover novel connections between cell morphology and molecular profiles. Finally, I will outline persistent challenges and future directions in developing robust, generalizable, and clinically deployable medical AI systems.
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