Personalized Postpartum Bleeding Risk Prediction with Machine Learning and Genetic Scores
Official title: Personalized Postpartum Hemorrhage Prediction Using Machine Learning And Polygenic Risk Scores
Funded at Brigham and Women's Hospital · NIH-11419168 · Data updated 2026-11-12
This grant aims to create a personalized tool that predicts a mother’s risk of postpartum hemorrhage using machine learning and her genetic information.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | August 1, 2022 |
| Project end | July 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $168,480 |
| NIH project number | 5K08HL161326-05 |
| Project ID | NIH-11419168 on NIH RePORTER |
Who could benefit from this research
✓Could help
Pregnant or recently postpartum individuals whose care could benefit from improved risk prediction for postpartum hemorrhage.
✕Less likely to help
Individuals without risk factors or those not involved in delivery or postpartum care may not directly benefit.
What this research studies
Postpartum hemorrhage is a major risk after delivery, and current prediction tools miss many cases. This project will combine machine learning models with polygenic risk scores to improve accuracy and explainability. The approach emphasizes transparent decision-making and generalizability across diverse populations. By focusing on personal risk factors, the work seeks to support clinicians in targeting prevention and rapid response for those at highest risk.
Why it matters
Potential benefit: If successful, clinicians could better identify women at high risk for postpartum hemorrhage and tailor prevention and management to reduce severe complications.
How similar studies have gone: Previous risk prediction tools exist but have limited adoption and accuracy; this project adds polygenic data and explainable ML to enhance performance.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Kovacheva, Vesela — Brigham and Women's Hospital
- Study coordinator: Kovacheva, Vesela
Related research
Other NIH-funded projects on the same topics.
-
Wearable tech to track blood loss during childbirth
A wearable device monitors cardiovascular signals to detect postpartum hemorrhage early so clinicians can act quickly to protect mothers.
-
Maternal Postpartum Monitoring with a Wearable Sensor (MOMS)
A wearable system called MOMS will continuously monitor multiple physiological signals in pregnant people to detect postpartum hemorrhage earlier than standard vital signs.
-
AI-powered real-time postpartum hemorrhage risk predictor in clinical care
A real-time AI tool integrated into electronic health records helps identify women at risk for postpartum hemorrhage so clinicians can intervene earlier.
-
Targeting Ubiquitination to Improve Uterotonic Therapies in Postpartum Hemorrhage
A new approach aims to boost uterine contractions during childbirth and after delivery by understanding how a hormone receptor is regulated, potentially reducing postpartum hemorrhage risk.
-
OPTIMUM OB-TXA: Timing, route, and dose of tranexamic acid to prevent postpartum bleeding before cord clamping
Aims to find the best time, method, and amount of tranexamic acid given before cord clamping to prevent postpartum hemorrhage in new mothers and protect babies.
-
Simulation to strengthen obstetricians' hands-on skills for postpartum hemorrhage
A multicenter program uses realistic obstetric simulations to help OB attendings perform critical maneuvers like Bakri balloon placement and suturing techniques during postpartum hemorrhage.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.