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Development and Validation of a Residual Deep Neural Network for Predicting Vancomycin Trough Concentration Categories in Pediatric Patients

2026-01-29

Abstract excerpt

<title>Abstract</title> <p>Background Vancomycin is a key antimicrobial for severe gram-positive infections, including methicillin-resistant Staphylococcus aureus, in children. Achieving therapeutic trough concentrations (10–20 µg/mL) is challenging due to pharmacokinetic variability. Conventional dosing and Bayesian models often fail to ensure optimal exposure. Machine learning offers potential improvements, bu...

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Literature Corpus work
19d4834e-87e1-5990-bb75-6b8236e05585
DOI
10.21203/rs.3.rs-7834711/v1
Open publication

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Development and Validation of a Residual Deep Neural Network for Predicting Vancomycin Trough Concentration Categories in Pediatric PatientsDOI 10.21203/rs.3.rs-7834711/v1
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