Independent projects applying data analysis, wearable sensing and drug-safety data to women's health: sex differences in adverse drug reactions, physiological changes during pregnancy, and the menstrual cycle.
01Alexandra L. Ramos Figueroa & Milenia Rojas
Built at the Claude Code AI Hackathon. Most drug trials averaged women and men together, so Invisible Woman breaks the data back out by sex: a sex-specific re-analysis of FDA adverse-event reports using the AwareDX machine-learning model (Columbia, Patterns 2020), an open pregnancy registry, and a community study where women share the medicines they take and the side effects they notice.
Naomi Hassan Kahtan Alyafei & Alexandra L. Ramos Figueroa
We analyzed 792 nights of Apple Watch data from one pregnant participant (n = 1; ~33,000 respiratory-rate and ~485,000 heart-rate readings). Breathing rate stayed steady at 18.4 breaths/min, except during pregnancy, when it rose by 2.6 breaths/min and then returned to baseline after delivery. Breathing and heart rate moved together (r = 0.51), and both followed daily circadian rhythms. A wearable could flag changes against your own baseline instead of one fixed clinical cutoff.
03A day-by-day interactive diagram of the menstrual cycle: what the ovaries, uterus and hormones are doing, how a hormonal IUD or pregnancy changes it, and effects on the body you might not expect. Built to help engineers find new ideas in women's health.