Retrospective study develops an AI tool to predict teicoplanin levels in ICU patients, suggesting improved drug monitoring.
This study developed a TabNet model based on real-world data, which can accurately and interpretably predict the teicoplanin plasma concentration of patients with pulmonary infection in the ICU. The derived online prediction tool provides references for the application of artificial intelligence-assisted precision medicine in antibacterial treatment and the optimization of drug monitoring for ICU patients.
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Zhang et al. (2026) studied this question.
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