Personalized medication dosing for critically ill children
Official title: Precision Dosing for Critically Ill Children
Funded at Children's Hospital of Los Angeles · NIH-11089510 · Data updated 2026-11-12
This study is working to make sure that critically ill children get the right amount of medicine by using smart computer models that take into account how each child's body processes drugs, especially those with kidney problems, so they can receive safer and more effective treatments.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Children's Hospital of Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | August 17, 2022 |
| Project end | April 30, 2026 |
| Funding year | 2025 |
| Award (this year) | $709,231 |
| NIH project number | 5R01HD107687-04 |
| Project ID | NIH-11089510 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are critically ill children aged 0-11 years who are experiencing acute kidney failure or related conditions.
✕Less likely to help
Patients who are stable and not experiencing acute kidney issues may not receive benefit from this research.
What this research studies
This research focuses on improving medication dosing for critically ill children by using advanced modeling techniques. It aims to address the limitations of traditional dosing methods that often do not account for individual variations in drug metabolism, especially in children with acute kidney issues. By utilizing a large dataset from the Virtual Pediatric Intensive Care Unit, the study will develop predictive models to better tailor medication doses to each child's specific needs over time. This approach seeks to enhance the effectiveness of treatments and minimize adverse drug reactions.
Why it matters
Potential benefit: If successful, this research could lead to more effective and safer medication dosing for critically ill children, improving their overall health outcomes.
How similar studies have gone: Previous research has shown promise in using model-informed precision dosing, but this specific application of recurrent neural networks for predicting individual variations in critically ill children is novel.
Where this research is happening
-
Children's Hospital of Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Neely, Michael N. — Children's Hospital of Los Angeles
- Study coordinator: Neely, Michael N.
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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.