Article

Can synthetic data overcome the privacy and fidelity bottleneck in Pharmacometrics? A comparative benchmark using a daptomycin population pharmacokinetic model

2026-06-02

Abstract excerpt

<h4>Introduction</h4> The sharing of individual patient data is essential for advancing pharmacometrics but is strictly limited by privacy regulations (e.g., GDPR). While synthetic data generation offers a legally compliant alternative, its structural impact on complex nonlinear mixed-effects (NLME) modelling remains largely unexplored. This study aimed to benchmark five generative artificial intelligence algorit...

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Literature Corpus work: 5c08eb22-6aec-599a-a973-a4c888be727d
DOI: 10.64898/2026.05.30.26354512

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