Leveraging Neural ODEs for Population Pharmacokinetics of Dalbavancin in Sparse Clinical Data

Leveraging Neural ODEs for Population Pharmacokinetics of Dalbavancin in Sparse Clinical Data

This study investigates the use of Neural Ordinary Differential Equations (NODEs) as an alternative to traditional compartmental models and Nonlinear Mixed-Effects (NLME) models for drug concentration prediction in pharmacokinetics. Unlike standard models that rely on strong assumptions and often st...

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Bibliographic Details
Main Authors: Tommaso Giacometti, Ettore Rocchi, Pier Giorgio Cojutti, Federico Magnani, Daniel Remondini, Federico Pea, Gastone Castellani
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Entropy
Subjects:
neural ODE
deep learning
population pharmacokinetics
precision medicine
Online Access:https://www.mdpi.com/1099-4300/27/6/602
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