Kun-Hsing Yu
余坤兴
MD, PhD
Assistant Professor of Biomedical Informatics生物医学信息学助理教授
👥Biography 个人简介
Kun-Hsing Yu is a physician-scientist at Harvard Medical School specializing in AI-driven digital pathology and multimodal oncology data integration. His lab develops foundation models and deep learning systems that integrate pathology images, genomics, and clinical data to predict cancer prognosis and treatment response with high accuracy.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Multimodal Cancer Prognosis
Developed multimodal deep learning frameworks integrating whole-slide pathology images with molecular profiles to predict patient survival across multiple cancer types.
Pathology Foundation Models
Contributed to large-scale self-supervised foundation model development for computational pathology, enabling few-shot adaptation to rare cancer subtypes.
Representative Works 代表性著作
Predicting Cancer Outcomes from Histology and Genomics Using Convolutional Networks
PLOS Computational Biology (2021)
Demonstrated integrated histology-genomics CNNs outperform single-modality approaches in pan-cancer prognosis prediction.
Multimodal Data Integration for Cancer Prognosis Using Deep Learning
Nature Communications (2023)
Large-scale multimodal integration of imaging, omics, and clinical data for pan-cancer survival modeling.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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