Read CPT:PSP Now

CPT: Pharmacometrics & Systems Pharmacology (CPT:PSP) is an online-only, open-access journal devoted to publishing advances in quantitative methods as applied in pharmacology, physiology, and therapeutics in humans. All content published in CPT:PSP is Open Access and thus freely accessible to readers worldwide immediately upon publication.  Check out the latest research published in CPT:PSP this month:

Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics OPEN

Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development OPEN

Prediction of in vivo and in vitro infection model results using a semimechanistic model of avibactam and aztreonam combination against multidrug resistant organisms OPEN

Multiscale modeling reveals inhibitory and stimulatory effects of caffeine on acetaminophen‐induced toxicity in humans OPEN

Population Pharmacokinetics and Pharmacodynamics of Benralizumab in Healthy Volunteers and Patients With Amnesia OPEN

Population Pharmacokinetics Modeling of Unbound Efavirenz, Atazanavir, and Ritonavir in HIV-Infected Subjects With Aging Biomarkers OPEN

Mechanism-Based Modeling of Gastric Emptying Rate and Gallbladder Emptying in Response to Caloric Intake OPEN

Disease Systems Analysis of Bone Mineral Density and Bone Turnover Markers in Response to Alendronate, Placebo, and Washout in Postmenopausal Women OPEN

Fractal Geometry-Based Decrease in Trimethoprim-Sufffamethoxazole Concentrations in Overweight and Obese People OPEN

Report from the EMA workshop on qualification and reporting of physiologically based pharmacokinetic (PBPK) modeling and simulation OPEN

Commentary on Pharmacometrics for Immunotherapy OPEN

The Impact of Mathematical Modeling in Understanding the Mechanisms Underlying Neurodegeneration: Evolving Dimensions and Future Directions OPEN

A Philosophical Framework for Integrating Systems Pharmacology Models Into Pharmacometrics OPEN

Letters to the Editor
Time‐Dependent Bias of Tumor Growth Rate and Time to Tumor Regrowth OPEN

New content is published online daily at the Wiley Online Library



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