Pharmaceutical studies and practices

A novel workflow integrating whole-body PET microdosing data and therapeutic-dose pharmacokinetics across species to inform first-in-human dose selection

The paper develops a PET-informed PBPK model using micro- and conventional dose data from non-human primates to predict human dolutegravir pharmacokinetics and inform first-in-human dose selection.

Beyond Student's t: A Systematic Exploration of Heavy-Tailed Residual Densities for Outlier Handling in Population PK Modeling

This paper evaluates heavy-tailed residual distributions for outlier handling in population PK modeling, finding that the Student's t distribution provides more stable inference than exponential-tail alternatives under extreme contamination.

Stochastic gates for covariate selection in population pharmacokinetics modelling

This paper introduces Neural Networks with Stochastic Gates for automated covariate selection in population pharmacokinetics, demonstrating improved efficiency and accuracy compared to traditional methods.

Hybrid Population PK-Machine Learning Modeling to Predict Infliximab Pharmacokinetics in Pediatric and Young Adult Patients with Crohn's Disease

This paper develops a hybrid population PK-ML model to improve infliximab concentration predictions in pediatric and young adult Crohn's disease patients, showing better accuracy than Bayesian estimation alone.