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Generative Deep Learning for Advanced Battery Materials

Batteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal +3 more
wiley +1 more source

Pharmacokinetic profiles of sertraline in pregnancy as a predictor of postpartum depressive symptoms

British Journal of Clinical Pharmacology, EarlyView.
Aim To characterize pharmacokinetic changes of sertraline and its metabolite during pregnancy and postpartum, and their relationship to maternal postpartum depressive symptoms. Methods This was a prospective observational, longitudinal study of pregnant women with a major depressive disorder treated with sertraline (N = 185 women, 205 pregnancies ...
Sílvia M. Illamola +8 more
wiley +1 more source

A real‐world data‐driven approach to optimizing enoxaparin dosing in burn patients

British Journal of Clinical Pharmacology, EarlyView.
Aim Enoxaparin dosing in burn patients is challenging due to physiological changes affecting absorption, distribution and clearance. The objectives of this study are to develop a population pharmacokinetic (PK) model for enoxaparin in burn patients, evaluate target attainment with current equation‐based (EQ) dosing and propose an optimized dosing ...
Babajide Shenkoya +3 more
wiley +1 more source

Predicting extreme thermal degradation of ascorbic acid (Vitamin C) using Bayesian-Inverse Weibull models: Applications in stability analysis and process optimization. [PDF]

PLoS One
Azeem R, Aslam M, Mehmood T, Al-Essa LA.
europepmc +1 more source

Corrigendum to: "Bayesian spatio-temporal modeling of severe acute respiratory syndrome in Brazil: A comparative analysis across pre-, during, and post-COVID-19 eras" [Infectious Disease Modelling, 10 (2) (2025) 466-476]. [PDF]