Validating the accuracy of mathematical model–based pharmacogenomics dose prediction with real-world data

• Published in: European journal of clinical pharmacology Vol. 81; no. 3; pp. 451 - 462
• Main Authors: Saab, Yolande, Nakad, Zahi
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025; Springer Nature B.V
• Subjects: Artificial intelligence; Biomedical and Life Sciences; Biomedicine; CYP2D6 protein; Cytochrome P-450 CYP2C19 - genetics; Cytochrome P-450 CYP2D6 - genetics; Cytochrome P450; Decision making; Dosage; Dose-Response Relationship, Drug; Drug dosages; Gene polymorphism; Genotype; Humans; Mathematical models; Models, Theoretical; Patients; Pharmaceutical Preparations - administration & dosage; Pharmaceutical Preparations - metabolism; Pharmacogenetics - methods; Pharmacogenomics; Pharmacology/Toxicology; Phenotypes; Polymorphism, Genetic; Allele activity; Dose prediction; Cytochrome P450; Drug metabolism; Genotype; Personalized medicine; Artificial intelligence

Objective The study aims to verify the usage of mathematical modeling in predicting patients’ medication doses in association with their genotypes versus real-world data. Methods The work relied on collecting, extracting, and using real-world data on dosing and patients’ genotypes. Drug metabolizing...