Kun-Hsing Yu
Kun-Hsing Yu
Harvard Medical School
Verified email at
Cited by
Cited by
Artificial intelligence in healthcare
KH Yu, AL Beam, IS Kohane
Nature biomedical engineering 2 (10), 719-731, 2018
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
KH Yu, C Zhang, GJ Berry, RB Altman, C Ré, DL Rubin, M Snyder
Nature communications 7 (1), 1-10, 2016
Integrated proteogenomic characterization of human high-grade serous ovarian cancer
H Zhang, T Liu, Z Zhang, SH Payne, B Zhang, JE McDermott, JY Zhou, ...
Cell 166 (3), 755-765, 2016
Suicide rates among adolescents and young adults in the United States, 2000-2017
O Miron, KH Yu, R Wilf-Miron, IS Kohane
Jama 321 (23), 2362-2364, 2019
Transcriptome profiling of patient-specific human iPSC-cardiomyocytes predicts individual drug safety and efficacy responses in vitro
E Matsa, PW Burridge, KH Yu, JH Ahrens, V Termglinchan, H Wu, C Liu, ...
Cell stem cell 19 (3), 311-325, 2016
Framing the challenges of artificial intelligence in medicine
KH Yu, IS Kohane
BMJ quality & safety 28 (3), 238-241, 2019
Does one size fit all? Building a framework for medical professionalism
MJ Ho, KH Yu, D Hirsh, TS Huang, PC Yang
Academic Medicine 86 (11), 1407-1414, 2011
Omics profiling in precision oncology
KH Yu, M Snyder
Molecular & Cellular Proteomics 15 (8), 2525-2536, 2016
Association of omics features with histopathology patterns in lung adenocarcinoma
KH Yu, GJ Berry, DL Rubin, C Re, RB Altman, M Snyder
Cell systems 5 (6), 620-627. e3, 2017
An informatics-assisted label-free approach for personalized tissue membrane proteomics: case study on colorectal cancer
CL Han, JS Chen, EC Chan, CP Wu, KH Yu, KT Chen, CC Tsou, CF Tsai, ...
Molecular & Cellular Proteomics 10 (4), 2011
Beam, and Isaac S. Kohane
KH Yu, L Andrew
Artificial intelligence in healthcare. Nature biomedical engineering 2 (10 …, 2018
Exome sequencing of neonatal blood spots and the identification of genes implicated in bronchopulmonary dysplasia
J Li, KH Yu, J Oehlert, LL Jeliffe-Pawlowski, JB Gould, DK Stevenson, ...
American journal of respiratory and critical care medicine 192 (5), 589-596, 2015
Artificial intelligence in research
M Musib, F Wang, MA Tarselli, R Yoho, KH Yu, RM Andrés, ...
science 357 (6346), 28-30, 2017
Examining the use of real‐world evidence in the regulatory process
BK Beaulieu‐Jones, SG Finlayson, W Yuan, RB Altman, IS Kohane, ...
Clinical Pharmacology & Therapeutics 107 (4), 843-852, 2020
Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks
KH Yu, F Wang, GJ Berry, C Re, RB Altman, M Snyder, IS Kohane
Journal of the American Medical Informatics Association 27 (5), 757-769, 2020
Predicting ovarian cancer patients’ clinical response to platinum-based chemotherapy by their tumor proteomic signatures
KH Yu, DA Levine, H Zhang, DW Chan, Z Zhang, M Snyder
Journal of proteome research 15 (8), 2455-2465, 2016
A tale of two cities: understanding the differences in medical professionalism between two Chinese cultural contexts
MJ Ho, KH Yu, H Pan, JL Norris, YS Liang, JN Li, D Hirsh
Academic Medicine 89 (6), 944-950, 2014
The genetic predisposition to bronchopulmonary dysplasia
KH Yu, J Li, M Snyder, GM Shaw, HM O’Brodovich
Current opinion in pediatrics 28 (3), 318, 2016
Temporal bias in case-control design: preventing reliable predictions of the future
W Yuan, BK Beaulieu-Jones, KH Yu, SL Lipnick, N Palmer, J Loscalzo, ...
Nature communications 12 (1), 1-10, 2021
Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics
K Roberts, MR Boland, L Pruinelli, J Dcruz, A Berry, M Georgsson, ...
Journal of the American Medical Informatics Association 24 (e1), e185-e190, 2017
The system can't perform the operation now. Try again later.
Articles 1–20