Artificial intelligence and precision medicine: a pilot study predicting optimal ceftaroline dosage for pediatric patients

BackgroundAccurate drug dosing in pediatrics is complicated by age-related physiological variability. Standard weight-based dosing may result in either subtherapeutic exposure or toxicity. Machine learning (ML) models can capture complex relationships among clinical variables and support individuali...

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Bibliografische gegevens

Hoofdauteurs:	Maria Frasca, Gianluca Gazzaniga, Agnese Graziosi, Valentina De Nicolo, Costantino De Giacomo, Stefano Martinelli, Michele Senatore, Alessandra Romandini, Chiara Moretti, Giulia Angela Carla Pattarino, Alice Proto, Romano Danesi, Francesco Scaglione, Gianluca Vago, Davide La Torre, Arianna Pani
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2026-01-01
Reeks:	Frontiers in Artificial Intelligence
Onderwerpen:	artificial intelligence ceftaroline drug dosing explainable AI machine learning pediatric pharmacokinetics
Online toegang:	https://www.frontiersin.org/articles/10.3389/frai.2025.1702087/full
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