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

B. Mehta; S. Goodman; E. DiCarlo; D. Jannat-Khah; A.B. Gibbons; M. Otero; L. Donlin; T. Pannellini; W.H. Robinson; P. Sculco; M. Figgie; J. Rodriguez; J.M. Kirschmann; J. Thompson; D. Slater; D. Frezza; Z. Xu; F. Wang; D.E. Orange
2023

2022

B. Mehta; K. Ho; V. Ling; S. Goodman; M. Parks; B. Ravi; S. Banerjee; F. Wang; S. Ibrahim; P. Cram
2022
M. Lin; B. Hou; L. Liu; M. Gordon; M. Kass; F. Wang; S.H. Van Tassel; Y. Peng
2022
T. Wanyan; M. Lin; E. Klang; K.M. Menon; F.F. Gulamali; A. Azad; Y. Zhang; Y. Ding; Z. Wang; F. Wang; B. Glicksberg; Y. Peng
2022
C. Zang; M. Goodman; Z. Zhu; L. Yang; Z. Yin; Z. Tamas; V.Mohan Sharma; F. Wang; N. Shao
2022
S.Q. Zhang; F. Wang; F.L. Fan
2022

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