Predicting outcomes for very preterm babies using AI and multiomics
Official title: Machine Learning and Multiomics for Predictive Models and Biomarker Discovery in Preterm Infants.
Funded at Baylor College of Medicine · NIH-11396480 · Data updated 2026-11-12
A study using machine learning and blood-based biomarkers to forecast survival and major health problems in very preterm infants.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $641,771 |
| NIH project number | 5R01HD112886-04 |
| Project ID | NIH-11396480 on NIH RePORTER |
Who could benefit from this research
✓Could help
Very preterm infants (born <32 weeks and/or <1500 g) in neonatal care who have access to their clinical and biological data.
✕Less likely to help
Infants who do not fit the preterm criteria or whose data cannot be collected may not benefit.
What this research studies
This project combines clinical data with multi-omic information from very preterm babies to build prediction models. It aims to identify biomarkers linked to survival and complications like sepsis, NEC, and lung/eye problems. Researchers will use retrospective data from a cohort of VLBW infants to train and validate AI models that could guide personalized care.
Why it matters
Potential benefit: If successful, the models could help clinicians tailor treatments and monitoring for the most at-risk preterm babies.
How similar studies have gone: Previous work shows promise for ML models in neonatal outcomes, with growing evidence but still early-stage for clinical deployment.
Where this research is happening
-
Baylor College of Medicine
Houston, United States Active
Researchers
- Principal investigator: Pammi, Mohan — Baylor College of Medicine
- Study coordinator: Pammi, Mohan
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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.