AI for Health & Society Lab
Rigorous models for decisions that affect real people.
- Maternal and child health
- Epidemiological modelling
- Fairness and calibration
- Deployment with district partners
Lab lead
Dr. Ayesha Rehman
Professor of Machine Learning · Dean of the Academy
The lab partners with district health authorities to build, validate and deploy risk models for maternal and child health, and studies the fairness and calibration properties of models used to allocate scarce clinical resources. Every deployed model is accompanied by a public evaluation report.
Publications
- 2025Dataset
PHF-2025: An Anonymised Dataset of Facility-Level Maternal Health Records
Ayesha Rehman, Sana Malik · PIOAI Data Release
- 2025Paper
Calibrated Risk Stratification for Maternal Health in Rural Punjab
Ayesha Rehman, Hina Aslam, Maryam Khan · npj Digital Medicine