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
Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures.
Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER Program.