Justin Chan’s lab received ARPA-H funding to design the AI/ML algorithms for a wearable monitoring system to better identify fetal distress and its cause, enabling a safer labor and delivery experience for mothers and babies. The system, called OMEGA, or Optical, Mechanical, and Electrical Global Assessment of fetal hypoxia, aims to replace 50-year-old, indirect, unreliable fetal heart rate monitoring technology with a unified, real-time assessment of fetal oxygen delivery and adaptive capacity.
Source: https://engineering.cmu.edu/news-events/news/2026/06/23-transform-childbirth-care.html