Wang Lab
Weill Cornell Medicine
Selected Publications
(Full publications please see my Google Scholar page)2025
- Suraj Rajendran, Zhenxing Xu, Weishen Pan, Chengxi Zang, Ilias Siempos, Lisa Torres, Jie Xu, Jiang Bian, Edward J. Schenck，Fei Wang.
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory.
Nature Communications. 16, Article number: 4450. 2025.
Impact Factor: 14.7
[Link] - Weishen Pan, Deep Hathi, Zhenxing Xu, Qiannan Zhang, Ying Li, Fei Wang.
Identification of predictive subphenotypes for clinical outcomes using real world data and machine learning.
Nature Communications. 16, Article number: 3797. 2025.
Impact Factor: 14.7
[Link] [news] - Chengxi Zang, Daniel Guth, Ann M Bruno, Zhenxing Xu, Haoyang Li, Nariman Ammar, Robert Chew, Nick Guthe,
Emily Hadley, Rainu Kaushal, Tanzy Love, Brenda M McGrath, Rena C Patel, Elizabeth C Seibert, Yalini Senathirajah, Sharad Kumar Singh,
Fei Wang, Mark G Weiner, Kenneth J Wilkins, Yiye Zhang, Torri D Metz, Elaine Hill, Thomas W Carton, RECOVER PCORnet EHR Consortia,
RECOVER N3C EHR Consortia, RECOVER Pregnancy Consortia.
Long COVID after SARS-CoV-2 during pregnancy in the United States.
Nature Communications. 16, Article number: 3005. 2025.
Impact Factor: 14.7
[Link] [news] - Zilong Bai, Mohamed Osman, Matthew Brendel, Catherine M Tangen, Thomas W Flaig, Ian M Thompson,
Melissa Plets, M Scott Lucia, Dan Theodorescu, Daniel Gustafson, Siamak Daneshmand, Joshua J Meeks, Woonyoung Choi,
Colin PN Dinney, Olivier Elemento, Seth P Lerner, David J McConkey, Bishoy M Faltas, Fei Wang.
Predicting response to neoadjuvant chemotherapy in muscle-invasive bladder cancer via interpretable multimodal deep learning.
npj Digital Medicine . 8, Article number: 174. 2025.
Impact Factor: 12.4
[Link] [news] - Jacqueline Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang.
Local Causal Discovery for Structural Evidence of Direct Discrimination.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 19349-19357.
Acceptance Rate: 3,032/12,957 = 23.4%
[Link] - Xingbo Wang, Janessa Griffith, Daniel A. Adler, Joey Castillo, Tanzeem Choudhury, Fei Wang.
Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health.
Proceedings of the 2025 Conference on Human Factors in Computing Systems (CHI).
Acceptance Rate: 1,249/5,020 = 24.88%
[Preprint]
2024
- Wei-Wen Yu, Joy NP Barrett, Jie Tong, Meng-Ju Lin, Meaghan Marohn, Joseph C Devlin, Alberto Herrera,
Juliana Remark, Jamie Levine, Pei-Kang Liu, Victoria Fang, Abigail M Zellmer, Derek A Oldridge, E John Wherry, Jia-Ren Lin,
Jia-Yun Chen, Peter Sorger, Sandro Santagata, James G Krueger, Kelly V Ruggles, Fei Wang, Chang Su, Sergei B Koralov, Jun Wang,
Ernest S Chiu, Catherine P Lu.
Skin Immune-Mesenchymal Interplay within Tertiary Lymphoid Structures Promotes Autoimmune Pathogenesis in Hidradenitis Suppurativa.
Immunity. Volume 57, Issue 12. p 2827-2842.e5. December 10, 2024.
Impact Factor: 25.5
[Link] [Editorial] - Richard D. Bell, Matthew Brendel, Maxwell A. Konnaris, Justin Xiang, Miguel Otero, Mark A. Fontana,
Zilong Bai, Accelerating Medicines Partnership Rheumatoid Arthritis and Systemic Lupus Erythematosus (AMP RA/SLE) Consortium,
Daria M. Krenitsky, Nida Meednu, Javier Rangel-Moreno, Dagmar Scheel-Toellner, Hayley Carr, Saba Nayar, Jack McMurray,
Edward DiCarlo, Jennifer H. Anolik, Laura T. Donlin, Dana E. Orange, H. Mark Kenney, Edward M. Schwarz,
Andrew Filer, Lionel B. Ivashkiv, Fei Wang.
Automated Multi-Scale Computational Pathotyping (AMSCP) of Inflamed Synovial Tissue.
Nature Communications. volume 15, Article number: 7503. 2024.
Impact Factor: 14.7
[Link] [news] - Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel,
Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe,
James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang.
Identification of Parkinson’s Disease PACE Subtypes and Repurposing Treatments Through Integrative Analyses of Multimodal Data.
npj Digital Medicine. 7, Article number: 184. 2024.
Impact Factor: 12.4
[Link] [news] - Zilong Bai, Nicholas Bartelo, Maryam Aslam, Elisabeth A. Murphy, Caryn R. Hale, Nathalie E. Blachere,
Salina Parveen, Edoardo Spolaore, Edward DiCarlo, Ellen M. Gravallese, Melanie H. Smith,
Accelerating Medicines Partnership RA/SLE Network, Mayu O. Frank, Caroline S. Jiang, Haotan Zhang, Christina Pyrgaki,
Myles J. Lewis, Shafaq Sikandar, Costantino Pitzalis, Joseph B. Lesnak, Khadijah Mazhar, Theodore J. Price, Anne-Marie Malfait,
Rachel E. Miller, Fan Zhang, Susan Goodman, Robert B. Darnell, Fei Wang*, Dana E. Orange*. (* Corresponding Authors)
Synovial Fibroblast Gene Expression is Associated with Sensory Nerve Growth and Pain in Rheumatoid Arthritis
Science Translational Medicine. 16(742), eadk3506 (2024).
Impact Factor: 19.319
[Link] [Cover Story] [news] [news] [NIH Director's Blog] - Feixiong Cheng, Fei Wang, Jian Tang, Yadi Zhou, Zhimin Fu, Pengyue Zhang,
Jonathan L. Haines, James B. Leverenz, Li Gan, Jianying Hu, Michal Rosen-Zvi, Andrew A. Pieper, Jeffrey Cummings.
Artificial Intelligence and Open Science in Discovery of Disease-Modifying Medicines for Alzheimer’s Disease.
Cell Reports Medicine. Vol. 5, No. 2, 101379, Feb 20, 2024.
Impact Factor: 14.3
[Link] - Qiong Wu, Jiayi Tong, Bingyu Zhang, Dazheng Zhang, Jiajie Chen, Yuqing Lei, Yiwen Lu, Yudong Wang,
Lu Li, Yishan Shen, Jie Xu, L Charles Bailey, Jiang Bian, Dimitri A Christakis, Megan L Fitzgerald, Kathryn Hirabayashi,
Ravi Jhaveri, Alka Khaitan, Tianchen Lyu, Suchitra Rao, Hanieh Razzaghi, Hayden T Schwenk, Fei Wang, Margot I Witvliet,
Eric J Tchetgen Tchetgen, Jeffrey S Morris, Christopher B Forrest, Yong Chen.
Real-world Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents.
Annals of Internal Medicine. Feb; 177(2):165-176. (2024).
Impact Factor: 39.2
[Link] - Chen, Jianmin, Robert H. Aseltine, Fei Wang, and Kun Chen.
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data.
Journal of the American Statistical Association. Volume 119, Issue 547, Pages 1765-1777. (2024).
[Link] - Jacqueline Maasch, , Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang.
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs.
Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI).
Acceptance Rate: 201/744 = 27%
[arXiv] - Qiannan Zhang, Weishen Pan, Zilong Bai, Chang Su, and Fei Wang.
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling.
Advances in Neural Information Processing Systems (NeurIPS). 2024.
Acceptance Rate: 25.8%
[Link]
2023
- Hao Zhang, Chengxi Zang, Zhenxing Xu, Yongkang Zhang, Jie Xu, Jiang Bian, Dmitry Morozyuk, Dhruv Khullar,
Yiye Zhang, Anna S Nordvig, Edward J Schenck, Elizabeth A Shenkman, Russell L Rothman, Jason P Block, Kristin Lyman, Mark G Weiner,
Thomas W Carton, Fei Wang*, Rainu Kaushal. (* Corresponding Author)
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.
Nature Medicine. 29, pages 226–235 (2023).
Impact Factor: 87.241
[Link] [news] [news] [news] [news] [news] - Chengxi Zang, Yongkang Zhang, Jie Xu, Jiang Bian, Dmitry Morozyuk, Edward J Schenck, Dhruv Khullar, Anna S Nordvig,
Elizabeth A Shenkman, Russell L Rothman, Jason P Block, Kristin Lyman, Mark G Weiner, Thomas W Carton,
Fei Wang*, Rainu Kaushal. (* Corresponding Author)
Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.
Nature Communications. 14, Article number: 1948 (2023).
Impact Factor: 17.694
[Link] [news] - Chengxi Zang, Hao Zhang, Jie Xu, Hansi Zhang, Sajjad Fouladvand, Shreyas Havaldar, Feixiong Cheng, Kun Chen,
Yong Chen, Benjamin S. Glicksberg, Jin Chen, Jiang Bian, Fei Wang*. (* Corresponding Author)
High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data.
Nature Communications. 14, Article number: 8180 (2023).
Impact Factor: 17.694. Highlighted in AMIA Summit 2024 Year-in-Review on Data Science and AI.
[Link] - Mingquan Lin, Tianhao Li, Yifan Yang, Gregory Holste, Ying Ding, Sarah Tassel, Kyle Kovacs,
George Shih, Zhangyang Wang, Fei Wang, Yifan Peng.
Improving model fairness in image-based computer-aided diagnosis.
Nature Communications. 14, Article number: 6261 (2023).
Impact Factor: 17.694
[Link] - Akhil Vaid, Ashwin Sawant, Mayte Suarex Farinas, Juhee Lee, Sanjeev Kaul, Patricia Kovatch, Robert Freeman,
Joy Jiang, Pushkala Jayaraman, Zahi Fayad, Edgar Argulian, Stamatios Lerakis, Alexander Charney, Fei Wang, Matthew Levin,
Benjamin S Glicksberg, Jagat Narula, Ira Hofer, Karandeep Singh, Girish Nadkarni.
Implications of the Use of Arti!cial Intelligence Predictive Models in Health Care Settings: A Simulation Study.
Annals of Internal Medicine. 176, no. 10: 1358-1369. (2023).
Impact Factor: 39.2
[Link] [Editorial] - Yunyu Xiao, J John Mann, Yu Hou, Julian Chun-Chung Chow, Timothy T Brown, Paul Siu-Fai Yip,
Alexander C Tsai, Jyotishman Pathak, Fei Wang, Chang Su.
Patterns of Social Determinants of Health and Child Mental Health, Cognition, and Physical Health.
JAMA Pediatrics. 177(12):1294-1305. (2023).
Impact Factor: 26.1
[Link] - Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting,
Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang,
Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu.
A translational perspective towards clinical AI fairness.
npj Digital Medicine. 6, Article number: 172 (2023).
Impact Factor: 15.357
[Link] - He S Yang, Weishen Pan, Yingheng Wang, Mark A Zaydman, Nicholas C Spies, Zhen Zhao,
Theresa A Guise, Qing H Meng, Fei Wang.
Generalizability of a Machine Learning Model for Improving Utilization of Parathyroid Hormone-Related Peptide Testing across Multiple Clinical Centers.
Clinical Chemistry. Article number: hvad141 (2023).
Impact Factor: 9.3
[Link] [Podcast] - Chang Su, Yu Hou, Manqi Zhou, Suraj Rajendran, Jacqueline RMA Maasch, Zehra Abedi,
Haotan Zhang, Zilong Bai, Anthony Cuturrufo, Winston Guo, Fayzan F Chaudhry, Gregory Ghahramani, Jian Tang,
Feixiong Cheng, Yue Li, Rui Zhang, Steven T DeKosky, Jiang Bian, Fei Wang
Biomedical discovery through the integrative biomedical knowledge hub (iBKH).
iScience. Volume 26, Issue 4, 21 April 2023, 106460
[Link] [video] - Qian Yang, Yuexing Hao, Kexin Quan, Stephen Yang, Yiran Zhao, Volodymyr Kuleshov, Fei Wang
Harnessing Biomedical Literature to Calibrate Clinicians’ Trust in AI Decision Support Systems.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI).
[Link] [Research Gate] [news] - Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models.
Proceedings of the The Fortieth International Conference on Machine Learning (ICML).
Acceptance Rate: 1,827/6,358=29.19%
[Link]
2022
- Jie Xu, Yunyu Xiao, Wendy Hui Wang, Yue Ning, Elizabeth A. Shenkman, Jiang Bian, Fei Wang.
Algorithmic fairness in computational medicine.
eBioMedicine. Volume 84, October 2022.
Impact Factor: 11.2
[Link] [medRxiv] - Xu, Zhenxing, Chengsheng Mao, Chang Su, Ilias Siempos, Lisa K. Torres, Di Pan, Yuan Luo, Edward J. Schenck, Fei Wang.
Sepsis Subphenotyping Based on Organ Dysfunction Trajectory.
Critical Care. 26, Article number: 197. 2022.
Impact Factor: 19.33. Highlighted in AMIA 2022 Year-in-Review Session.
[Link] - Adrienne Kline, Hanyin Wang, Yikuan Li, Saya Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo.
Multimodal Machine Learning in Precision Health: A Scoping Review.
npj Digital Medicine 5, Article Number: 1. 2022.
Impact Factor: 13.49.
[Link] [medRxiv] [news] - Xiangxiang Zeng, Fei Wang, Yuan Luo, Seung-gu Kang, Jian Tang, Felice C Lightstone, Evandro F Fang,
Wendy Cornell, Ruth Nussinov, Feixiong Cheng
Deep Generative Molecular Design Reshapes Drug Discovery.
Cell Reports Medicine. 2022.
Impact Factor: 16.998
[Link] - Yi Guo, Qian Li, Xi Yang, Michael S. Jaffee, Yonghui Wu, Fei Wang and Jiang Bian.
Prevalence of Alzheimer's and related dementia diseases and risk factors among transgender adults, Florida, 2012 - 2020.
The American Journal of Public Health. 112(5):754-757. 2022.
Impact Factor: 11.58
[Link] - Wanwan Xu, Chang Su, Yan Li, Steven Rogers, Fei Wang, Kun Chen, Robert Aseltine.
Improving Suicide Risk Prediction via Targeted Data Fusion: Proof of Concept Using Medical Claims Data.
Journal of American Medical Informatics Association (JAMIA). Volume 29, Issue 3, March 2022, Pages 500–511.
[Link] [Editorial]
2021
- Fei Wang.
Machine Learning for Predicting Rare Clinical Outcomes—Finding Needles in a Haystack.
JAMA Network Open. 4.5 Pages: e2110738-e2110738. 2021.
Impact Factor: 8.483
[Link] [MedPage Today] - Faten A Sayed, Lay Kodama, Joe C Udeochu, Li Fan, Gillian K Carling,
David Le, Qingyun Li, Lu Zhou, Hansruedi Mathys, Minghui Wang, Xiang Niu, Linas Mazutis, Xueqiao Jiang,
Xueting Wang, Man Ying Wong, Fuying Gao, Maria Telpoukhovskaia, Tara E Tracy, Georgia Frost, Yungui Zhou,
Yaqiao Li, Matthew Brendel, Yue Qiu, Zuolin Cheng, Guoqiang Yu, John Hardy, Giovanni Coppola, Shiaoching Gong,
Fei Wang, Michael A DeTure, Bin Zhang, Lei Xie, Dennis W Dickson, Wenjie Luo, and Li Gan.
AD-linked R47H-TREM2 Mutation Induces Disease-Enhancing Proinflammatory Microglial States in Mice and Humans.
Science Translational Medicine. Vol 13, Issue 622. Dec. 2021.
Impact Factor: 17.96
[Link] - Jie Xu, Wei Zhang, Fei Wang.
A(DP)^2SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). To Appear. 2021.
Impact Factor: 16.39
[Link] [ArXiv] - Chang Su, Yongkang Zhang, James H Flory, Mark G Weiner, Rainu Kaushal, Edward J Schenck, Fei Wang.
Novel Clinical Subphenotypes in COVID-19: Derivation, Validation, Prediction, Temporal Patterns, and Interaction with Social Determinants of Health.
npj Digital Medicine 4, Article Number: 110. 2021.
Impact Factor: 11.653. Highlighted in AMIA 2022 Year-in-Review Session.
[Link] [medRxiv] [news] - Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J George, Mattia Prosperi, William R Hogan, Zhe He, Elizabeth A Shenkman, Fei Wang, Jiang Bian.
Exploring the Feasibility of Using Real-World Data from a Large Clinical Data Research Network to Simulate Clinical Trials of Alzheimer’s Disease.
npj Digital Medicine. 4, Article number: 84. 2021.
Impact Factor: 11.653
[Link] [Editorial] - Zhengze Zhou, Giles Hooker, Fei Wang.
S-LIME: Stabilized-LIME for Model Explanation.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2429–2438. 2021.
Acceptance Rate: 238/1541=15.44%
[Link] [ArXiv]
2020
- He S. Yang, Yu Hou, Ljiljana V. Vasovic, Peter Steel, Amy Chadburn, Sabrina E. Racine-Brzostek, Priya Velu,
Melissa M Cushing, Massimo Loda, Rainu Kaushal, Zhen Zhao, Fei Wang.
Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning.
Clinical Chemistry. Volume 66, Issue 11, Page: 1396–1404. 2020.
Impact Factor: 8.327
[Link] [medRXiv] [Editorial] [Follow-Up] [Modern Healthcare] [Dark Daily] [Weill Cornell Newsroom] [AACC] - Fei Wang, Rainu Kaushal, Dhruv Khullar.
Should Health Care Demand Interpretable Artificial Intelligence or Accept “Black Box” Medicine?
Annals of Internal Medicine. Volume 172, Issue 1. Page: 59-60. 2020.
Impact Factor: 25.39
[Link] [Faculty Opinions] - Yadi Zhou, Fei Wang, Jian Tang, Ruth Nussinov, and Feixiong Cheng.
Artificial Intelligence in COVID-19 Drug Repurposing.
The Lancet Digital Health. Volume 2, Issue 12, E667-E676, December 01, 2020.
Impact Factor: 24.519
[Link] [Cover] - Chengxi Zang, Fei Wang.
MoFlow: An Invertible Flow Model for Generating Molecular Graphs.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Pages 617–626. 2020.
Acceptance Rate: 216/1279=16.89%
[Link] [ArXiv] [Code] - Chengxi Zang, Fei Wang.
Neural Dynamics on Complex Networks.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Pages 892–902. 2020.
Acceptance Rate: 216/1279=16.89%
[Link] [ArXiv] [DLGMA'20 Best Paper Award] - Xu, Jie, Zhenxing Xu, Peter Walker, Fei Wang.
Federated Patient Hashing.
AAAI Conference on Artificial Intelligence (AAAI). Pages 6486-6493. 2020.
Acceptance Rate: 1591/8800=18.08%
[Link]