Kun-Hsing Yu, MD, PhD

Kun-Hsing Yu, MD, PhD

Associate Professor of Biomedical Informatics, Harvard Medical School
Assistant Professor of Pathology, Brigham and Women's Hospital
Instructor in Epidemiology, Harvard T.H. Chan School of Public Health
Yu Lab

Kun-Hsing "Kun" Yu received his PhD in Biomedical Informatics and PhD Minor in Computer Science from Stanford University, and he obtained his MD from National Taiwan University, Taiwan. His research focuses on the integration of quantitative histopathology image patterns with multi-omics (genomics, epigenomics, transcriptomics, and proteomics) profiles to advance cancer research and clinical practice. His team has developed fully-automated algorithms to analyze whole-slide histopathology images at scale, discovered the molecular mechanisms underpinning the microscopic phenotypes of tumor cells, and identified novel cellular morphologies for patient prognosis. His research interests include quantitative pathology, machine learning, and translational bioinformatics.

DBMI Research Areas
DBMI Courses
Current Postdoctoral Fellowship Opportunities
Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers.
Authors: Wang X, Jiang Y, Yang S, Wang F, Zhang X, Wang W, Chen Y, Wu X, Xiang J, Li Y, Jiang X, Yuan W, Zhang J, Yu KH, Ward RL, Hawkins N, Jonnagaddala J, Li G, Li R.
J Clin Oncol
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Uncertainty-aware ensemble of foundation models differentiates glioblastoma from its mimics.
Authors: Zhao J, Lin SY, Attias R, Mathews L, Engel C, Larghero G, Vremenko D, Kao TW, Lee TH, Wang YH, Tsai CC, Marostica E, Lo YC, Meredith D, Ligon KL, Arnaout O, Roetzer-Pejrimovsky T, Lin SC, Shih NN, Chaisuriya N, Cook DJ, Chiang JH, Liu CJ, Woehrer A, Golden JA, Nasrallah MP, Yu KH.
Nat Commun
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Pancancer outcome prediction via a unified weakly supervised deep learning model.
Authors: Yuan W, Chen Y, Zhu B, Yang S, Zhang J, Mao N, Xiang J, Li Y, Ji Y, Luo X, Zhang K, Xing X, Kang S, Xiao D, Wang F, Wu J, Zhang H, Tang H, Maurya H, Corredor G, Barrera C, Zhou Y, Pandav K, Zhao J, Jain P, Delasos L, Huang J, Yang K, Teknos TN, Lewis J, Koyfman S, Pennell NA, Yu KH, Han X, Zhang J, Wang X, Madabhushi A.
Signal Transduct Target Ther
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Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data.
Authors: Liu D, Choi KW, Lizano P, Yuan W, Yu KH, Smoller J, Kohane I.
Schizophr Res
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Effect of systemic glucocorticoid immunosuppression timing, dose, and duration on overall survival among immune checkpoint inhibitor recipients: a retrospective multicohort study.
Authors: Wan G, Nguyen N, Lu C, Khattab S, Yan B, Amadife M, Leung BW, Chen W, Rajeh A, Tang K, Thang C, Boland G, Reynolds KL, Yu KH, Gusev A, LeBoeuf NR, Kwatra SG, Semenov YR.
medRxiv
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Comprehensive biobanking strategy with clinical impact at the European Cancer Moonshot Lund Center.
Authors: Oskolas H, Nogueira FCN, Domont GB, Yu KH, Semenov YR, Sorger P, Steinfelder E, Corps L, Schulz L, Wieslander E, Fenyö D, Kárpáti S, Holló P, Kemény LV, Döme B, Megyesfalvi Z, Pawlowski K, Nishimura T, Kwon H, Encarnación-Guevara S, Szasz AM, Veréb Z, Gyulai R, Németh IB, Appelqvist R, Rezeli M, Baldetorp B, Horvatovich P, Malmström J, Pla I, Sanchez A, Knudsen B, Kiss A, Malm J, Marko-Varga G, Gil J.
J Proteomics
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Machine learning prediction for early-stage melanoma outcomes: recurrence-free survival, disease-specific survival, and overall survival.
Authors: Wan G, Rashdan H, Burke OM, Khattab S, Nguyen N, Leung BW, Beagles E, Chang CT, Yu KH, DeSimone MS, Semenov YR.
medRxiv
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A vision-language foundation model for precision oncology.
Authors: Xiang J, Wang X, Zhang X, Xi Y, Eweje F, Chen Y, Li Y, Bergstrom C, Gopaulchan M, Kim T, Yu KH, Willens S, Olguin FM, Nirschl JJ, Neal J, Diehn M, Yang S, Li R.
Nature
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A pathology foundation model for cancer diagnosis and prognosis prediction.
Authors: Wang X, Zhao J, Marostica E, Yuan W, Jin J, Zhang J, Li R, Tang H, Wang K, Li Y, Wang F, Peng Y, Zhu J, Zhang J, Jackson CR, Zhang J, Dillon D, Lin NU, Sholl L, Denize T, Meredith D, Ligon KL, Signoretti S, Ogino S, Golden JA, Nasrallah MP, Han X, Yang S, Yu KH.
Nature
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Medical Artificial Intelligence and Human Values. Reply.
Authors: Manrai AK, Yu KH, Kohane IS.
N Engl J Med
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