2024
DOI: 10.1002/psp4.13124
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Deep‐NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data

Gengbo Liu,
Logan Brooks,
John Canty
et al.

Abstract: Noncompartmental analysis (NCA) is a model‐independent approach for assessing pharmacokinetics (PKs). Although the existing NCA algorithms are very well‐established and widely utilized, they suffer from low accuracies in the setting of sparse PK samples. In response, we developed Deep‐NCA, a deep learning (DL) model to improve the prediction of key noncompartmental PK parameters. Our methodology utilizes synthetic PK data for model training and uses an innovative patient‐specific normalization method for data … Show more

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