Prediction of infliximab and anti-drug antibody concentrations in patients with inflammatory bowel disease using machine learning models with real-world data from a prospective cohort study

BackgroundAlthough population pharmacokinetic models are the standard approach for identifying inter-individual variability and optimizing infliximab concentration, their development and validation are complex and time-consuming. Therefore, this study aimed to develop and evaluate machine learning (...

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Bibliografische Detailangaben

Hauptverfasser:	Minjung Kim, Joo Hye Song, Sung Noh Hong, Myeong Gyu Kim, Eun Ran Kim, Dong Kyung Chang, Young-Ho Kim
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-01-01
Schriftenreihe:	Frontiers in Pharmacology
Schlagworte:	anti drug antibodies (ADA) concentration inflammatory bowel disease infliximab machine learning prediction model
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fphar.2026.1731193/full
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