Growth trajectory analysis
Investigating how individualized growth curves, rather than population-based percentiles, could improve early identification of growth restriction.
Research
We're investigating how emerging technologies could enable earlier detection of fetal distress through more frequent, accessible monitoring.
Investigating how individualized growth curves, rather than population-based percentiles, could improve early identification of growth restriction.
Researching machine learning approaches to interpreting complex fetal data, enabling detection of subtle patterns that indicate developing complications.
Exploring how combining multiple sensor modalities could provide complementary signals for fetal wellbeing assessment in non-clinical settings.
Studying how continuous monitoring data could integrate with existing clinical pathways, supporting clinical care.
Our research is ongoing. We are currently in early-stage feasibility studies and are not making claims about clinical efficacy. We are committed to rigorous validation through proper clinical trials.
Research foundation
Our work builds on decades of research in maternal-fetal medicine, ultrasound imaging, and AI-assisted diagnostics.
Frontiers in Physiology
Journal of Obstetrics and Gynaecology Research
JAMA Health Forum
The Lancet
Ultrasound in Obstetrics & Gynecology
Now enrolling
We are enrolling people in their second or third trimester of pregnancy in a voluntary, IRB-reviewed feasibility study of an investigational wearable fetal monitoring device. Open to participants in the United States.