A Deep-Learning-based Two-Compartment Predictive Model (PKRNN-2CM) for Vancomycin Therapeutic Drug Monitoring

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Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi

Published: 2023, Last Modified: 05 Jan 2026ICHI 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: This study developed a two-compartment deep learning model (PKRNN-2CM) for therapeutic drug monitoring (TDM) of vancomycin (VAN), a commonly used antibiotic. The model, which uses irregularly sampled electronic health record (EHR) data, outperformed a one-compartment model (PKRNN) in predicting VAN concentration. Simulation results also demonstrated the superiority of the PKRNN-2CM model, suggesting that it could improve the accuracy and effectiveness of personalized VAN TDM, leading to better clinical outcomes.