BioAgeOS
Project Overview
About
Biological-age models estimate how the body is ageing by analysing chemical markers on DNA, but many are trained on unrepresentative datasets and may be less accurate for pregnant women and underrepresented ethnic groups. BioAgeOS adds a recalibration layer to existing models, identifying relevant population patterns and correcting results through transparent statistical methods. Its prototype web app and API also report uncertainty. By improving the fairness and reliability of these estimates, BioAgeOS strengthens ageing research, clinical studies and treatment trials.
Team
Zehra Azim
Zehra Azim is a DPhil candidate in Pharmacology at the University of Oxford and the Founder and Lead Scientist of BioAgeOS. Her doctoral research investigates circadian control of chloride homeostasis in cerebral vascular smooth muscle, while BioAgeOS addresses a critical flaw in longevity science: existing epigenetic ageing clocks systematically misjudge biological age across different ancestries, sexes, and reproductive states. Her calibration layer corrects this bias, offering diagnostic labs and longevity platforms a more accurate foundation for measuring biological age. Zehra holds an MSc in Integrated Immunology from Oxford and a BSc in Biomedical Sciences from Queen Mary University of London.