Ana Kisovar is a clinician-scientist who doesn't believe the problem in women's health is a lack of sophisticated AI. It's that we still lack good quality data and we're still measuring the wrong things in the wrong places.She holds a medical degree from Ljubljana and a DPhil from Oxford, where she built a high-dimensional immune profiling platform to map the immune environment in endometriosis, a disease affecting 190 million women that still takes eight years on average to diagnose. Currently she works as a resident in obstetrics and gynaecology at Inselspital Bern, where her focus is the peritoneal cavity: the most information-rich and most neglected compartment in gynaecological disease.She is actively involved in the femtech space, working with several startups including an AI-enabled endometriosis diagnostics company in Zurich, and has worked across healthcare systems in Europe and the US.She feels most at home in rooms where clinicians, scientists, and industry are willing to be honest with each other about why things keep not working - and what it would actually take to fix them. Minding everyone’s uterus.
