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

  1. 2025
    Dataset

    PHF-2025: An Anonymised Dataset of Facility-Level Maternal Health Records

    Ayesha Rehman, Sana Malik · PIOAI Data Release

  2. 2025
    Paper

    Calibrated Risk Stratification for Maternal Health in Rural Punjab

    Ayesha Rehman, Hina Aslam, Maryam Khan · npj Digital Medicine