Résumés > Chelle Pierre

Model-Informed Precision Dosing (MIPD) is an approach that aims at individualizing dosing using modeling and simulations. Knowledge of an individual pharmacokinetics (PK) and PK targets is central in such approach. For cases whose sampling is limited, estimation of an individual PK can leverage Population PK (PopPK) which accounts for variability in the population to provide robust individual PK estimates required to inform patient-specific dosing. This presentation will introduce PopPK modeling within the MIPD framework, including use of Bayesian forecasting, and will explore two case studies illustrating the impact of PopPK-guided MIPD on therapeutic drug monitoring improving therapeutic outcomes and enhancing clinical decision-making: the WAPPS-Hemo project, a free online service supporting PK-guided prophylaxis in hemophilia patients; and PDApp a software designed to support a clinical trial aiming at improving outcomes in Patent Ductus Arteriosus (PDA) treatment in neonatal care.