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Lorenzo Contento

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Open access 2026

DeepNLME - Conditional Generative Scientific Machine Learning with Applications in Pharmacology

Nonlinear mixed-effects (NLME) models are essential for analyzing hierarchical and longitudinal data, particularly in pharmacometrics. This paper presents deep nonlinear mixed effects (DeepNLME) models and applications thereof in the DeepPumas software framework. DeepNLME integrates neural networks with scientific an...

Niklas Korsbo, M. Tarek, Lorenzo Contento et al. · 0 citations

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