Research

At the WCM Institute of AI for Digital Health, we develop data mining and machine learning approaches to advance individualized health and healthcare approaches.

Our research areas include:  

  • Health Data Science
    • Predictive modeling of clinical risks
    • Disease subtyping
    • Computational drug discovery and design
    • Knowledge graph
  • Machine Learning and AI
    • Multi-modal learning
    • Meta-learning and transfer learning
    • Model interpretability and explainability
    • Federated learning
    • Model fairness

Partnerships and Collaborations

Current partnerships include:

Publications

2022

X. Zeng; F. Wang; Y. Luo; S.G. Kang; J. Tang; F.C. Lightstone; E.F. Fang; W. Cornell; R. Nussinov; F. Cheng
2022
J. Liu; L.F. Westblade; F. Wang; A. Chadburn; R. Fideli; A. Craney; S. Rand; M.M. Cushing; J. Meng; Z. Zhao; H.S. Yang
2022
A. Kline; H. Wang; Y. Li; S. Dennis; M. Hutch; Z. Xu; F. Wang; F. Cheng; Y. Luo
2022
J. Xu; C. Mao; Y. Hou; Y. Luo; J.L. Binder; Y. Zhou; L.M. Bekris; J. Shin; M. Hu; F. Wang; C. Eng; T.I. Oprea; M.E. Flanagan; A.A. Pieper; J. Cummings; J.B. Leverenz; F. Cheng
2022
Z. Xu; C. Mao; C. Su; H. Zhang; I. Siempos; L.K. Torres; D. Pan; Y. Luo; E.J. Schenck; F. Wang
2022
M.A. Konnaris; M. Brendel; M.Alan Fontana; M. Otero; L.B. Ivashkiv; F. Wang; R.D. Bell
2022

Population Health Sciences 402 E. 67th St. New York, NY 10065 Phone: (646) 962-8001