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

Publications

2026

S.J. Sacco; K. Chen; F. Wang; S.C. Rogers; R.H. Aseltine
2026
Z. Yan; H. Li; Z. Huang; M. Zhou; W.T. Wang; S. Jiang; M. Zhang; E. Martinez-Nunez; R. Marongiu; H. Sarva; M.S. Okun; J. Zhou; C. Su; F. Wang
2026
Z. Huang; W. Pan; S. Alishetti; A.N. Beecy; Z. Liu; A. Gong; S. Shin; K.J. Clerkin; R.L. Goldsmith; D.T. Majure; C. Kelsey; D. vanMaanan; J. Ruhl; N. Tesfuzigta; E. Lancet; D. Kumaraiah; G. Sayer; D. Estrin; K. Weinberger; N. Uriel; F. Wang
2026
H. Li; Y. Li; C. Zang; W. Pan; H.S. Yang; T.B. Grossman; Z. Zhao; F. Wang
2026
M.H.J. Hazewinkel; W. Pan; S. Simon; T.R. Campion; W.G. Austen; D.B. Sneag; F. Wang; L. Gfrerer
2026

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Population Health Sciences 575 Lexington Avenue | 425 E. 61st Street, 3rd Floor New York, NY Phone: (646) 962-8001