Preeclampsia research highlights US minority disparities and AI ultrasound effort in Africa
A study of Latina women receiving publicly funded prenatal care in El Paso, Texas found a preeclampsia prevalence of about 25%, far above the national average of roughly 8%. The research links the high rates to social inequities such as poverty and food insecurity in the predominantly Latino community that borders Mexico.
Separately, researchers at the University of Nairobi are testing an artificial‑intelligence‑driven ultrasound system to estimate gestational age in pregnant women in Ghana, Kenya and South Africa. Accurate dating is essential for early screening and preventive treatment of preeclampsia, a leading cause of maternal death in low‑ and middle‑income countries. The handheld AI tool could allow minimally trained health workers to provide timely risk assessment and initiate low‑dose aspirin therapy before 20 weeks of gestation.
Entities: AI‑based ultrasound system · El Paso, Texas · University of Nairobi · World Health Organization