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

Z. Chen; H. Zhang; T.J. George; Y. Guo; M. Prosperi; J. Guo; D. Braithwaite; F. Wang; W. Kibbe; L. Wagner; J. Bian
2022
J.Y. Min; W. Simmons; S. Banerjee; F. Wang; N. Williams; Y. Zhang; A.B. Reese; A.I. Mushlin; J.H. Flory
2022
S. Tripathi; A. Malhotra; M. Qazi; J. Chou; F. Wang; S. Barkan; N. Hellmers; C. Henchcliffe; H. Sarva
2022
J.Young Min; N. Williams; W. Simmons; S. Banerjee; F. Wang; Y. Zhang; A.B. Reese; A.I. Mushlin; J.H. Flory
2022

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