Global Trends in Integrating Machine Learning (ML) with Model-Informed Drug Development (MIDD): A Bibliometric and Systematic Review (2015-2025). [PDF]
Dermawan D, Chtita S, Alotaiq N.
europepmc +1 more source
Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care. [PDF]
Leiwolf M +6 more
europepmc +1 more source
Training the next-generation of biomedical scientists through artificial intelligence-driven education and research in pharmacology and pharmaceutical sciences. [PDF]
Kumar S +4 more
europepmc +1 more source
Development of in vitro-in vivo correlation for establishing patient-centric quality standards of dissolution for lamotrigine extended-release tablets. [PDF]
Zidan A +5 more
europepmc +1 more source
Development of a Physiologically Based Biopharmaceutics Model Report Template: Considerations for Improved Quality in View of Regulatory Submissions. [PDF]
Arora S +23 more
europepmc +1 more source
Mechanistic Modelling of Lidocaine and Prilocaine Absorption from EMLA Cream upon Topical Application using Physiologically Based Pharmacokinetic Modelling. [PDF]
Telaprolu KC +8 more
europepmc +1 more source
Model-Informed Dosing Regimen of Sugemalimab for European Patients With Non-Small Cell Lung Cancer: Bridging From Asian Clinical Data. [PDF]
Sheng Y +5 more
europepmc +1 more source
Bioequivalence of alternative pembrolizumab dosing regimens: current practice and future perspectives. [PDF]
Malmberg R +12 more
europepmc +1 more source
openaire +1 more source
Majority of bioequivalence studies are conducted in healthy volunteers. It has been argued that bioequivalence may not necessarily hold true in relevant patient populations due to a variety of reasons which affect one formulationmore than the other for ...
Adam S Darwich +2 more
exaly +4 more sources

