Predicting postpartum bleeding risks using advanced algorithms and genetic information

Personalized Postpartum Hemorrhage Prediction Using Machine Learning And Polygenic Risk Scores

NIH-funded research Brigham and Women's Hospital · NIH-10888319

This study is working on a new tool to help predict the risk of heavy bleeding after childbirth, using advanced technology to look at both medical history and genetic information, so that new moms can get better care and support during and after delivery.

Quick facts

Grant typeCareer grant
Study typeNIH-funded research
Funding institutionBrigham and Women's Hospital NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-10888319 on NIH RePORTER

What this research studies

This research focuses on developing a personalized tool to predict the risk of postpartum hemorrhage, which is excessive bleeding after childbirth. By utilizing machine learning techniques and polygenic risk scores, the study aims to create a more accurate prediction model than existing tools, which often miss a significant number of cases. The approach involves analyzing various clinical and genetic factors to improve decision-making and reduce biases in predicting hemorrhage risks. This could lead to better management and outcomes for women during and after childbirth.

Who could benefit from this research

Good fit: Ideal candidates for this research include pregnant women, particularly those with a family history of postpartum hemorrhage or other risk factors.

Not a fit: Patients who are not pregnant or those who have already experienced childbirth without complications may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly reduce the incidence of postpartum hemorrhage and improve maternal health outcomes.

How similar studies have performed: Other research has shown promise in using machine learning for predictive modeling in healthcare, indicating that this approach could be effective.

Where this research is happening

Boston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.