Model‐informed reinforcement learning for enabling precision dosing via adaptive dosing
Precision dosing, the tailoring of drug doses to optimize therapeutic benefits and minimize
risks in each patient, is essential for drugs with a narrow therapeutic window and severe …
risks in each patient, is essential for drugs with a narrow therapeutic window and severe …
Application of machine learning techniques in population pharmacokinetics/pharmacodynamics modeling
M Uno, Y Nakamaru, F Yamashita - Drug Metabolism and …, 2024 - Elsevier
Population pharmacokinetics/pharmacodynamics (pop-PK/PD) consolidates
pharmacokinetic and pharmacodynamic data from many subjects to understand inter-and …
pharmacokinetic and pharmacodynamic data from many subjects to understand inter-and …
Reinforcement Learning and PK‐PD Models Integration to Personalize the Adaptive Dosing Protocol of Erdafitinib in Patients with Metastatic Urothelial Carcinoma
A De Carlo, EM Tosca, M Fantozzi… - Clinical Pharmacology …, 2024 - Wiley Online Library
The integration of pharmacokinetic‐pharmacodynamic (PK‐PD) modeling and simulations
with artificial intelligence/machine learning algorithms is one of the most attractive areas of …
with artificial intelligence/machine learning algorithms is one of the most attractive areas of …
Impact of covariate model building methods on their clinical relevance evaluation in population pharmacokinetic analyses: comparison of the full model, stepwise …
Covariate analysis in population pharmacokinetics is key for adjusting doses for patients.
The main objective of this work was to compare the adequacy of various modeling …
The main objective of this work was to compare the adequacy of various modeling …