Results 91 to 100 of about 6,306 (210)
DDIapp—A Web‐Based Application for Static Drug–Drug Interaction Assessment
ABSTRACT In this work we describe the development of a web‐based application for static drug–drug interaction (DDI) risk assessment in accordance with the International Council for Harmonization (ICH) M12 guidance. The app was built using the Shiny for Python framework and it employs a modular mathematical modeling structure that incorporates models ...
Hirotaka Watase +5 more
wiley +1 more source
ABSTRACT Mechanistic PK/PD models represent complex biological systems in which model parameters are in nonlinear, multidimensional parameter spaces and often require robust optimization informed by experimental data, making parameter estimation a critical yet challenging aspect of pharmacometric analysis.
Dongjin Lee, Chih‐Wei Lin
wiley +1 more source
ABSTRACT Vincristine is a cornerstone of pediatric chemotherapy, but its use is limited by vincristine‐induced peripheral neuropathy (VIPN). Paradoxically, African children tolerate higher vincristine doses with minimal neurotoxicity, raising questions about the pharmacological mechanisms and model generalizability across populations. In this study, we
Maddalena Centanni +5 more
wiley +1 more source
ABSTRACT The oncology market is evolving, with an increasing number of therapeutic options making the inference of treatment benefit from early development critical. The “Go” versus “No Go” decisions from such trials usually rely on probabilities of achieving meaningful improvements (effect sizes) in endpoints like objective response rate, tailored to ...
Mathilde Marchand +6 more
wiley +1 more source
Individual predictions of long‐term chronic disease progression from data of limited duration provide valuable insights into estimating patient outcomes and therapeutic needs.
Yamato Sano +5 more
doaj +1 more source
Bayesian Workflow for Minimal PBPK Models: Case Study of Dapagliflozin
ABSTRACT Numerous clinical trials (CTs) and population pharmacokinetic (PK) models have been published on dapagliflozin, an approved SGLT2 inhibitor used to treat type 2 diabetes, heart failure, and chronic kidney disease. This study proposes a Bayesian workflow for the development of minimal physiologically‐based PK models (mPBPK) that integrates all ...
Anna Mikhailova +3 more
wiley +1 more source
This study was aimed to evaluate whether the dose–response relationship of the sodium glucose co-transporter-2 inhibitors (SGLT2is) in patients with type 2 diabetes mellitus (T2DM)—canagliflozin, dapagliflozin, empagliflozin, ipragliflozin ...
Hiromi Sato +5 more
doaj +1 more source
ABSTRACT Model‐informed precision dosing is often constrained by the limited generalizability of traditional population pharmacokinetic models, especially in critically ill patients. A hybrid machine learning‐population pharmacokinetic framework is proposed to improve a priori pharmacokinetic predictions by integrating real‐world clinical data.
Freek J. A. Relouw +5 more
wiley +1 more source
ABSTRACT Selecting the most relevant models for model‐informed precision dosing (MIPD) remains challenging, particularly when numerous population pharmacokinetic (popPK) models are available, making external evaluation of all candidates time‐ and resource‐consuming.
Samuel Baroudi +5 more
wiley +1 more source
Alternative Dosing Regimens of Tislelizumab Using a Pharmacometrics Model‐Based Approach
Tislelizumab 200 mg once every 3 weeks (Q3W) is approved for the treatment of multiple cancers. We used a model‐based approach to propose three alternative dosing regimens, 150 mg Q2W, 300 mg Q4W, and 400 mg Q6W, with the aims of providing flexible ...
Ahsan Rizwan +13 more
doaj +1 more source

