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

Y. Guo; J. Bian; A. Chen; F. Wang; A.L. Posgai; D.A. Schatz; E.A. Shenkman; M.A. Atkinson
2022
M. Lin; L. Liu; M. Gordon; M. Kass; F. Wang; S.H. Van Tassel; Y. Peng
2022
M. Brendel; C. Su; Z. Bai; H. Zhang; O. Elemento; F. Wang
2022
M. Lin; L. Liu; M. Gorden; M. Kass; S. Van Tassel; F. Wang; Y. Peng
2022
J. Lee; T. Wanyan; Q. Chen; T.D.L. Keenan; B.S. Glicksberg; E.Y. Chew; Z. Lu; F. Wang; Y. Peng
2022

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