CPT: Pharmacometrics & Systems Pharmacology (PSP) is a cross-disciplinary journal devoted to publishing advances in quantitative (e.g., modeling and simulation) methods as applied in pharmacology, physiology and therapeutics in humans. The journal is an official open access journal of the American Society for Clinical Pharmacology and Therapeutics (ASCPT).

Featured in CPT: Pharmacometrics & Systems Pharmacology

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CPT: Pharmacometrics & Systems Pharmacology – Inception, Maturation, and Future Vision

New Cover for CPT:PSP.

Identification of high-dimensional omics-derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling

A schematic visualization of the proposed two-step approach.

Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility

In silico Model Process flowchart.

Browse Articles

Open access

Physiologically based pharmacokinetic modeling of long‐acting extended‐release naltrexone in pregnant women with opioid use disorder

Babajide Shenkoya, Mathangi Gopalakrishnan, Ahizechukwu C. Eke, 
  •  9 October 2024
Open access

Immunogenicity dynamics and covariate effects after satralizumab administration predicted with a hidden Markov model

Rory Leisegang, Hanna E. Silber Baumann, Siân Lennon-Chrimes, Hajime Ito, Kazuhiro Miya, Jean-Christophe Genin, Elodie L. Plan, 
  •  8 October 2024
Open access

Physiology‐based pharmacokinetic model with relative transcriptomics to evaluate tissue distribution and receptor occupancy of anifrolumab

Pradeep Sharma, David W. Boulton, Lynn N. Bertagnolli, Weifeng Tang, 
  •  3 October 2024
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Open access

Application of ggplot2 to Pharmacometric Graphics

K Ito, D Murphy, 
  •  1-16
  •  16 October 2013
Open access

Pharmacokinetics of Monoclonal Antibodies

Josiah T. Ryman, Bernd Meibohm, 
  •  576-588
  •  27 June 2017
Open access

Basic Concepts in Population Modeling, Simulation, and Model‐Based Drug Development—Part 2: Introduction to Pharmacokinetic Modeling Methods

DR Mould, RN Upton, 
  •  1-14
  •  17 April 2013
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Open access

An introduction to causal inference for pharmacometricians

James A. Rogers, Hugo Maas, Alejandro Pérez Pitarch, 
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