An AI platform for personalized nutrition in premature newborns
Official title: An AI-driven total parenteral nutrition platform for cost-effective and scientifically personalized nutrition for premature newborns
Funded at Takeoff41, INC. · NIH-10922569 · Data updated 2026-11-12
This study is working on a smart system to create personalized nutrition plans for premature babies in NICUs, aiming to make feeding safer and more effective while also saving money.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Takeoff41, INC. NIH-funded |
| Lab location | 1 site (Portola Valley, United States) |
| Project start | September 13, 2024 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $291,523 |
| NIH project number | 1R42HD115517-01 |
| Project ID | NIH-10922569 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are premature newborns who require total parenteral nutrition due to their inability to feed normally.
✕Less likely to help
Patients who are not premature or do not require TPN for their nutritional needs may not benefit from this research.
What this research studies
This research aims to develop an innovative artificial intelligence-driven platform for total parenteral nutrition (TPN) specifically designed for premature newborns in neonatal intensive care units (NICUs). The project will utilize a decade's worth of data to create standardized yet personalized TPN formulations that can improve health outcomes while reducing costs. By validating this platform in real clinical settings, the researchers hope to enhance the safety and effectiveness of TPN administration, addressing current challenges such as high costs and the risk of errors. This approach seeks to ensure that vulnerable infants receive the optimal nutrition they need for healthy growth and development.
Why it matters
Potential benefit: If successful, this research could lead to safer, more effective, and cost-efficient nutritional support for premature newborns in NICUs.
How similar studies have gone: Previous research has shown promise in using AI for personalized medical treatments, indicating potential success for this novel approach in TPN administration.
Where this research is happening
-
Takeoff41, INC.
Portola Valley, United States Active
Researchers
- Principal investigator: Phongpreecha, Thanaphong — Takeoff41, INC.
- Study coordinator: Phongpreecha, Thanaphong
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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.