Women's Health (Audio)
Learn about women's health - healthcare issues particular to women throughout the lifespan - from University of California medical professionals and others.
- Indexed episodes, last 90 days
- 8
- Latest publication
- Sep 4, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 16, 2026
Latest episodes
Creating the UC Menopause Collaborative: An Opportunity for Research and Clinical Collaboration (opens the original)
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Menopause care is changing as more patients seek evidence-based guidance for symptoms, prevention, and long-term health. Kathryn Macaulay, M.D., M.S.C.P., F.A.C.O.G., UC San Diego Health, and Rajita Patil, M.D., M.S.C.P., F.A.C.O.G., UCLA Health, explain why many people still struggle to find trained care, even as menopause affects sleep, mood, work, genitourinary health, and cardiometabolic risk. They connect hormone therapy history with today’s demand for reliable, individualized options, incl
Multidisciplinary Care of Pregnant Women with Cardiovascular Disease with Dr. Laith Alshawabkeh (opens the original)
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Cardiovascular disease is a major threat to maternal health during pregnancy and the peripartum period, particularly for women with preexisting heart conditions. A UC San Diego cardiologist describes the development of a multidisciplinary cardio-obstetrics initiative designed to coordinate care for patients with congenital heart disease, heart failure, arrhythmias and coronary artery disease. The program brings cardiology and maternal-fetal medicine together with other specialties to establish c
Label-free AI-enabled Imaging Flow Cytometry for Discovery of Subpopulations of Extravillous Trophoblast from a Stem Cell-based Model of Trophoblast Differentiation (opens the original)
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AI-powered cell imaging may help researchers identify biological differences that are difficult or impossible to see by eye. Yu-Hwa Lo, Ph.D., and Louise Laurent, M.D., Ph.D., describe a system that combines high-speed imaging, cell sorting, microfluidics, and artificial intelligence. The technology creates label-free images of cells, uses AI to classify them, and can isolate selected cells for deeper molecular analysis. Laurent explains how the team is applying the system to human trophoblast s
DM in Pregnancy and AI - Ben Smarr Ph.D. and Sandy Ramos M.D. (opens the original)
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Continuous glucose monitoring and wearable data are changing how researchers study pregnancy and women’s health. Gladys (Sandy) Ramos, M.D., explains why glucose control is difficult during pregnancy and how CGM can reveal patterns that finger-stick testing may miss. She also describes research on CGM use in type 2 and gestational diabetes, labor, and behavior change. Ben Smarr, Ph.D., shows how wearable data can track changes in temperature, heart rate, activity, respiration, menstrual cycles,
Improving Early Alzheimers Detection in Women by Integrating Multimodal Data Into Clinical Decision Tools with Iris Broce-Diaz Ph.D. (opens the original)
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Alzheimer’s disease can begin developing years before memory and thinking problems become noticeable. Iris Broce-Diaz, Ph.D., of UC San Diego is developing accessible, noninvasive, and cost-effective tools to help primary care physicians and neurologists identify people at higher risk earlier. Her models combine information from cognitive assessments, brain imaging, genetics, and PET scans to estimate the likelihood that mild cognitive impairment will progress within five years. Combining multip
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