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AI-Enabled Precision Dosing in Pediatrics: Enhancing Model-Informed Decision Making
Kei Irie1, Tomoyuki Mizuno1,2
1Division of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Clinical Pharmacology and Therapeutics
|May 15, 2026
Summary
Artificial intelligence (AI) can improve pediatric pharmacotherapy through precision dosing. Integrating AI with pharmacometrics and digital twins enables adaptive, learning-based dosing strategies for safer, more effective treatments in children.
Area of Science:
- Clinical Pharmacology
- Artificial Intelligence in Medicine
- Pediatric Pharmacotherapy
Background:
- Ensuring safe and effective pharmacotherapy for children is a significant clinical challenge.
- Advances in artificial intelligence (AI) have not yet been widely adopted in pediatric clinical practice.
- Current dosing strategies often lack personalization for pediatric populations.
Purpose of the Study:
- To highlight how AI-enabled approaches can enhance model-informed decision-making for precision dosing in children.
- To propose frameworks integrating pharmacometrics, pediatric digital twins, and AI agents.
- To outline a pathway toward explainable and clinically actionable precision dosing strategies.
Main Methods:
- Integration of pharmacometrics with pediatric digital twins.
- Utilization of AI agents for adaptive and learning-based dosing.
- Development of physiologically grounded modeling frameworks.
Main Results:
- AI-enabled approaches can enhance model-informed decision-making for precision dosing.
- Proposed frameworks enable adaptive and learning-based dosing strategies.
- A path is outlined from static prediction to dynamic, clinically actionable precision dosing.
Conclusions:
- AI offers significant potential to optimize pharmacotherapy in pediatric care.
- Integrating AI with pharmacometrics and digital twins can lead to personalized and effective dosing.
- Future efforts should focus on developing explainable AI for clinical implementation in pediatric precision dosing.
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