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

P.S. Brandt; J.A. Pacheco; P. Adekkanattu; E.T. Sholle; S. Abedian; D.J. Stone; D.M. Knaack; J. Xu; Z. Xu; Y. Peng; N.C. Benda; F. Wang; Y. Luo; G. Jiang; J. Pathak; L.V. Rasmussen
2022
J. Xu; Y. Xiao; W.Hui Wang; Y. Ning; E.A. Shenkman; J. Bian; F. Wang
2022
H. Honarvar; C. Agarwal; S. Somani; A. Vaid; J. Lampert; T. Wanyan; V.Y. Reddy; G.N. Nadkarni; R. Miotto; M. Zitnik; F. Wang; B.S. Glicksberg
2022
Y. Li; M. Brendel; N. Wu; W. Ge; H. Zhang; P. Rietschel; R.G.W. Quek; J.F. Pouliot; F. Wang; J. Harnett
2022

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