A mechanistic framework for a priori pharmacokinetic predictions of orally inhaled drugs

no code implementations • 9 Jun 2020 • Niklas Hartung, Jens Borghardt

Finally, to identify the most impactful optimization criteria for orally inhaled drugs, we investigated the impact of input parameters on both pulmonary and systemic exposure.

Reinforcement learning and Bayesian data assimilation for model-informed precision dosing in oncology

no code implementations • 1 Jun 2020 • Corinna Maier, Niklas Hartung, Charlotte Kloft, Wilhelm Huisinga, Jana de Wiljes

Model-informed precision dosing (MIPD) using therapeutic drug/biomarker monitoring offers the opportunity to significantly improve the efficacy and safety of drug therapies.

reinforcement-learning Reinforcement Learning (RL)