Results 81 to 90 of about 6,010 (176)

From mechanism to phenotype: What fits in a basket trial

Epilepsia, EarlyView.
Kette D. Valente
wiley   +1 more source

Improving Population Pharmacokinetic Modelling with Artificial Patients using Generative Artificial Intelligence

Pharmacology Research &Perspectives, Volume 14, Issue 2, April 2026.
ABSTRACT In population pharmacokinetics (PopPK), non‐linear mixed effects (NLME) models are used to simultaneously describe a drug's pharmacokinetics (PK) and dynamics (PD) in a patient population using systems of ordinary differential equations. In this field, machine learning is mainly used for data preparation, hypothesis generation, predictive ...
Verena Schöning, Felix Hammann
wiley   +1 more source

Covariate modeling in pharmacometrics: General points for consideration

CPT: Pharmacometrics & Systems Pharmacology
Modeling the relationships between covariates and pharmacometric model parameters is a central feature of pharmacometric analyses. The information obtained from covariate modeling may be used for dose selection, dose individualization, or the planning of
Kinjal Sanghavi, Jakob Ribbing, James A. Rogers, Mariam A. Ahmed, Mats O. Karlsson, Nick Holford, Estelle Chasseloup, Malidi Ahamadi, Kenneth G. Kowalski, Susan Cole, Essam Kerwash, Janet R. Wade, Chao Liu, Yaning Wang, Mirjam N. Trame, Hao Zhu, Justin J. Wilkins, for the ISoP Standards & Best Practices Committee   +17 more
doaj   +1 more source

Population Pharmacokinetics of Serplulimab and Quantitative Assessment of Transitioning From Weight‐Based to Flat‐Dosing Strategy

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 4, April 2026.
ABSTRACT Serplulimab is a fully humanized anti–PD‐1 monoclonal antibody approved for small‐cell lung cancer and other malignancies. The initial dosing strategy was based on body weight (WT‐based); however, flat‐dosing offers greater convenience and reduced variability.
Kun Wang, Yuanyuan Shen, Chen Hu, Fengyan Xu, Zhihao Kwok, Qingyu Wang, Yaqi Lin, Yuying Gao, Liang Zhou   +8 more
wiley   +1 more source

A Combined Modeling Approach to Predict the Effect of Gastric Emptying Delay on the Pharmacokinetics of Small Molecules

CPT: Pharmacometrics & Systems Pharmacology
Dulaglutide, a long‐acting glucagon‐like peptide‐1 (GLP‐1) receptor agonist, is approved for improving glycemic control and reducing cardiovascular risks in patients with type 2 diabetes mellitus (T2DM).
Maria M. Posada, Karen B. Schneck, Bridget L. Morse, Luc R. A. Rougee, Lai San Tham, Jessica F. Rehmel, Brian Thompson, Stephen D. Stamatis, Stephen D. Hall, Gemma L. Dickinson   +9 more
doaj   +1 more source

Pharmacometrics to Evaluate Dosing of the Patient-Friendly Ivermectin CHILD-IVITAB in Children ≥ 15 kg and <15 kg

Pharmaceutics
The antiparasitic drug ivermectin is approved for persons > 15 kg in the US and EU. A pharmacometric (PMX) population model with clinical PK data was developed (i) to characterize the effect of the patient-friendly ivermectin formulation CHILD-IVITAB on ...
Klervi Golhen, Michael Buettcher, Jörg Huwyler, John van den Anker, Verena Gotta, Kim Dao, Laura E. Rothuizen, Kevin Kobylinski, Marc Pfister   +8 more
doaj   +1 more source

Modeling and Simulation in Development and Regulatory Approval of Chimeric Antigen Receptor T‐Cell Therapies: An Analysis of European Medicines Agency Centralized Procedures From 2018 to 2024

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 4, April 2026.
ABSTRACT Chimeric antigen receptor (CAR) T‐cell therapies represent a major advancement in oncology. These therapies have demonstrated therapeutic potential, particularly in hematological malignancies where patients have relapsed or are refractory to prior treatments.
Lisa Hanquet, Jean‐Michel Dogné, Flora T. Musuamba   +2 more
wiley   +1 more source

Integration of Machine Learning With PBPK and QSAR Modeling Approaches to Facilitate Drug Discovery and Development

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 4, April 2026.
ABSTRACT This review examines the application of machine learning (ML) in physiologically based pharmacokinetic (PBPK) modeling through improved prediction of input parameters, particularly via quantitative structure–activity relationship (QSAR) models, for absorption, distribution, metabolism, and excretion (ADME) properties across drug development ...
Xinyue Chen, Zhoumeng Lin
wiley   +1 more source

SCOUT: An Exploratory Approach to Scouting Dose‐Relevant Covariates

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 4, April 2026.
ABSTRACT Identifying the clinically relevant covariates that drive inter‐individual variability is fundamental to precision dosing. However, standard approaches such as stepwise covariate modeling are often limited by the laborious process of evaluating numerous covariate–parameter relationships and primarily focus on statistical significance rather ...
Yasuhisa Ideno, Hidefumi Kasai, Yusuke Tanigawara   +2 more
wiley   +1 more source

A tutorial on pharmacometric Markov models

CPT: Pharmacometrics & Systems Pharmacology
AbstractThe Markov chain is a stochastic process in which the future value of a variable is conditionally independent of the past, given its present value. Data with Markovian features are characterized by: frequent observations relative to the expected changes in values, many consecutive same‐category or similar‐value observations at the individual ...
Qing Xi Ooi, Elodie Plan, Martin Bergstrand   +2 more
openaire   +2 more sources