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

2023

D. Khullar; Y. Zhang; C. Zang; Z. Xu; F. Wang; M.G. Weiner; T.W. Carton; R.L. Rothman; J.P. Block; R. Kaushal
2023
C. Zang; Y. Hou; E. Schenck; Z. Xu; Y. Zhang; J. Xu; J. Bian; D. Morozyuk; D. Khullar; A. Nordvig; E. Shenkman; R. Rothman; J. Block; K. Lyman; Y. Zhang; J. Varma; M. Weiner; T. Carton; F. Wang; R. Kaushal; T.Recover Consortium
2023
Y. Zhang; H. Hu; V. Fokaidis; C.Lewis V; J. Xu; C. Zang; Z. Xu; F. Wang; M. Koropsak; J. Bian; J. Hall; R.L. Rothman; E.A. Shenkman; W.Q. Wei; M.G. Weiner; T.W. Carton; R. Kaushal
2023
C. Zang; Y. Zhang; J. Xu; J. Bian; D. Morozyuk; E.J. Schenck; D. Khullar; A.S. Nordvig; E.A. Shenkman; R.L. Rothman; J.P. Block; K. Lyman; M.G. Weiner; T.W. Carton; F. Wang; R. Kaushal
2023

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