AI for Health provides data-driven tools for healthcare:
- Phenotype complex diseases.
- Predict clinical outcomes and treatment effects.
- Discover risk factors associated with clinical outcomes.
- Support clinical decisions and precision medicine.
Research underway at Washington University in St. Louis

Wearable tech for contact tracing developed
‘Potentially powerful’ automated tool could help fight COVID, future pandemics in hospitals

Interdisciplinary team wins award for paper on predicting postoperative complications with wearables, artificial intelligence
The award to Chenyang Lu and collaborators was announced at the UbiComp/ISWC 2023 conference

Artificial intelligence may assist decisions on which patients should get critical life support
McKelvey Engineering, School of Medicine team develop machine-learning model using COVID-19 patient data

Learning physician burnout from electronic health record activities
Interdisciplinary team develops deep learning model to predict burnout from electronic health record logs

Wearable fitness trackers help physicians track patient health
Chenyang Lu applies machine learning, Internet of Things expertise to improve patient outcomes

Data from wearables could be a boon to mental health diagnosis
Washington University team uses Fitbit data, deep learning to detect depression, anxiety

Personalized prediction of depression treatment outcomes with wearables
Interdisciplinary team builds multitask machine learning model for randomized controlled trial

Predicting surgical outcomes with machine learning
Interdisciplinary team tackles complexity of clinical data in perioperative care

Early warning system model predicts deterioration of hospitalized cancer patients based on clinical data
The model, developed in Chenyang Lu’s lab, may help warn of pending patient deterioration
Recent talks
- Advancing Children and Youth Health with Artificial Intelligence, Spark Meeting, January 2025.
- AI for Health with Wearables, Keynote, Cyber-Physical Systems and Internet-of-Things Week (CPS-IoT Week), May 2024.
- AI for Health with Wearables (Slides) (Video), Mobile and Wearable Health Seminar Series, University of Cambridge, February 2024.
- Artificial Intelligence and Internet of Medical Things for Healthcare (Slides) (Video), Medicine Grand Rounds, Department of Medicine, Washington University School of Medicine, September 2022.
- Internet of Medical Things: Predicting Clinical Outcomes with Wearables (Slides) (Video), IoT Day Keynote, ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’22), June 2022.