Predicting pregnancy and newborn iron-deficiency risk linked to stress during pregnancy

Machine learning methods to assess risk for prenatal and neonatal iron deficiency anemia from maternal stress exposure

NIH-funded research Northeastern University · NIH-11163567

This project uses computer models to predict which pregnant people and their newborns might develop iron-deficiency anemia after stress during pregnancy.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionNortheastern University NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-11163567 on NIH RePORTER

What this research studies

From my point of view, researchers will combine health records, questionnaires about stress, and biological measures from pregnant people and newborns to find patterns. They will use machine learning to link maternal psychosocial stress, inflammation and hormone signals, and iron tests to see who is most at risk. The team may analyze blood markers and other samples and could use existing cohort data to train their models. The goal is to spot high-risk pregnancies earlier so doctors can try targeted prevention or monitoring.

Who could benefit from this research

Good fit: Ideal candidates would be pregnant people—especially in the third trimester—and their newborns, particularly when the mother experienced significant psychosocial stress during pregnancy.

Not a fit: People who are not pregnant, or whose iron status and pregnancy outcomes are unrelated to psychosocial stress, are unlikely to benefit directly from this work.

Why it matters

Potential benefit: If successful, this could help identify pregnant people and newborns at high risk for iron-deficiency anemia earlier so they can get preventive care or closer monitoring.

How similar studies have performed: Previous research has linked maternal stress to infant iron problems, but combining behavioral and biological signals with machine learning for prediction is relatively new.

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 2026-06-13 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.