CrushSCI.com
Journal Selection & Manuscript Polishing Services
CPT-Pharmacometrics & Systems Pharmacology journal cover Medicine
Back to journal directory

Review Cycle Records

CPT-Pharmacometrics & Systems Pharmacology

Wiley SCIE OA
2026 Emerging Zone 32025 CAS Zone 32025 JCR Q2
144.9Average days
143Median days
90Fastest days
241Longest days
1992025 publications

Paper Review Records

All Paper Review Records

20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

171 days

Relevance‐Based Score for MIPD Model Selection: Systematic Review and External Evaluation of popPK Tacrolimus Models in Adult Transplant Recipients

AuthorsSamuel Baroudi; Bénédicte Franck; Jean‐Baptiste Woillard; Ntobe‐Bunkete Béni; Emmanuelle Comets; Florian Lemaitre

Affiliations1. Inserm, EHESP, Irset (Institut de Recherche en santé, Environnement et Travail), UMR_S 1085 Univ. Rennes Rennes France; 2. FHU SUPORT Rennes France; 3. Department of Pharmacology, Toxicology and Pharmacovigilance CHU de Limoges Limoges France; 4. Pharmacology & Transplantation, INSERM U1248 Université de Limoges Limoges France; 5. Inserm, IAME Université Paris Cité and Université Sorbonne Paris Nord Paris France

Source PDF DOI Publisher page
90 days

A Systems Pharmacology Model of Aging Identifies Optimal Combination Therapies With Secondary Benefits on Weight Loss and Metabolic Health

AuthorsIgor Goryanin; Bob Damms; Irina Goryanin

Affiliations1. IQANOVA Ltd Edinburgh UK; 2. School of Informatics University of Edinburgh Edinburgh UK

Source PDF DOI Publisher page
241 days

A Systematic Review of Published Physiologically Based Pharmacokinetic Models for Drug Excretion Into Human Breastmilk: Knowledge Gaps and Opportunities to Optimize Reporting and Modeling Practices

AuthorsJoshua Kiptoo; Davies Otieno; Kenta Yoshida; Neel Deferm; Aida Nakayiwa Kawuma; Francis Williams Ojara; Adeniyi Olagunju; Jackson K. Mukonzo; Catriona Waitt

Affiliations1. Department of Pharmacology & Therapeutics Makerere University Kampala Uganda; 2. Infectious Diseases Institute, Makerere University Kampala Uganda; 3. Department of Pharmacy Mbarara University of Science & Technology Mbarara Uganda; 4. Department of Clinical Pharmacology Genentech Inc. South San Francisco California USA; 5. Predictive Technologies Division Certara UK Limited Sheffield UK; 6. Pharmides BV Pelt Belgium; 7. Pumas‐AI Inc. Dover Delaware USA; 8. Department of Pharmacology Gulu University Gulu Uganda; 9. Department of Biochemistry, Cell and Systems Biology University of Liverpool Liverpool UK; 10. Department of Women's and Children's Health University of Liverpool Liverpool UK

Source PDF DOI Publisher page
173 days

Modeling Treatment Response in Tuberculosis Early Bactericidal Activity Trials

AuthorsMairi C. W. McClean; Simon E. Koele; Julia Dreisbach; Susanne Mirold‐Mei; Fred Njeleka; Daniel Mapamba; Bariki Mtafya; Patrick P. J. Phillips; Veronique R. De Jager; Rodney Dawson; Kim Narunsky; Andreas H. Diacon; Elin M. Svensson; Norbert Heinrich; Francesco Paolo Casale; Michael Hoelscher

Affiliations1. Institute of Infectious Diseases and Tropical Medicine, LMU University Hospital Munich Germany; 2. Institute of AI for Health, Helmholtz Center Munich—German Research Center for Environmental Health Neuherberg Germany; 3. Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Pettenkofer School of Public Health LMU Medizin, Ludwig‐Maximilians‐Universität München Munich Germany; 4. Helmholtz Pioneer Campus Helmholtz Zentrum München—German Research Center for Environmental Health Neuherberg Germany; 5. Department of Pharmacy, Pharmacology, and Toxicology Radboud Institute for Medical Innovation, Radboud University Medical Center Nijmegen the Netherlands; 6. German Center for Infection Research (DZIF), Munich Partner Site Munich Germany; 7. National Institute for Medical Research‐Mbeya Medical Research Center Mbeya Tanzania; 8. UCSF Center for Tuberculosis University of California San Francisco San Francisco California USA; 9. TASK Applied Science Clinical Research Center Cape Town South Africa; 10. Department of Medicine University of Cape Town Lung Institute Cape Town South Africa; 11. Department of Pharmacy Uppsala University Uppsala Sweden; 12. Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Immunology, Infection, and Pandemic Research Munich Germany; 13. School of Computation, Information and Technology Technical University of Munich Garching Germany; 14. Unit Global Health, Helmholtz Zentrum München—German Research Centre for Environmental Health Neuherberg Germany

Source PDF DOI Publisher page
97 days

Context Engineering for AI ‐Assisted Pharmacometrics: A Practical Tutorial

AuthorsAri Pritchard‐Bell; Chih‐Wei Lin; William Holmes; Sameer Doshi

Affiliations1. Amgen, Inc. Thousand Oaks California USA

Source PDF DOI Publisher page
151 days

Beyond Traditional Covariates: An Interpretable Machine Learning Workflow for Improved Hybrid Pharmacometric Modeling

AuthorsFreek J. A. Relouw; Jort J. M. T. Lokers; Tim Preijers; Sebastiaan D. T. Sassen; Natal A. W. van Riel; Birgit C. P. Koch

Affiliations1. Department of Biomedical Engineering Eindhoven University of Technology Eindhoven the Netherlands; 2. Department of Hospital Pharmacy Erasmus University Medical Center Rotterdam the Netherlands; 3. Rotterdam Clinical Pharmacometrics Group Rotterdam the Netherlands; 4. Division of Neonatology, Department of Neonatal & Pediatric ICU Erasmus MC Rotterdam the Netherlands; 5. Department of Intensive Care Medicine Radboud University Medical Center Nijmegen the Netherlands

Source PDF DOI Publisher page
160 days

Bayesian Workflow for Minimal PBPK Models: Case Study of Dapagliflozin

AuthorsAnna Mikhailova; Kirill Peskov; Gabriel Helmlinger; Victor Sokolov

Affiliations1. M&S Decisions Dubai UAE; 2. Marchuk Institute of Numerical Mathematics RAS Moscow Russian Federation; 3. Research Center of Model‐Informed Drug Development Sechenov First Moscow State Medical University Moscow Russian Federation; 4. Quantitative Medicines Lexington Massachusetts USA

Source PDF DOI Publisher page
119 days

Structured Schemas for Provenance‐Rich, LLM ‐Assisted QSP Model Calibration

AuthorsJoel Eliason; Aleksander S. Popel

Affiliations1. Department of Biomedical Engineering Johns Hopkins University Baltimore Maryland USA

Source PDF DOI Publisher page
154 days

Machine Learning Enables Rapid Prediction of Acid‐Reducing Agent Drug Interactions: A Streamlined Complement to PBPK Modeling

AuthorsYuanfang Qin; Lehua Yu; Tao Chen; Yonghui Zuo; Hongyun Wang; Guoping Yang; Qi Pei

Affiliations1. Department of Pharmacy The Third Xiangya Hospital, Central South University Changsha China; 2. Center for Clinical Pharmacology The Third Xiangya Hospital, Central South University Changsha China; 3. Shanghai PharmoGo Co., Ltd Shanghai P. R. China; 4. Changsha Xutong Technology Co., Ltd Changsha China; 5. Clinical Pharmacology Research Center Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Complex Severe and Rare Diseases Beijing China; 6. Xiangya School of Pharmaceutical Sciences Central South University Changsha China

Source PDF DOI Publisher page
231 days

Utilizing Virtual Clinical Trials to Inform Target Coverage That Drives RSV Antiviral Efficacy

AuthorsJ. Cody Herron; Kathryn G. Link; Natalie Meacham; Negar Niki Alami; Daniel W. Brookes; Elaine Thomas; Jan Adams; Sima S. Toussi; Ryan Franke; Cynthia J. Musante; Isabel Najera; Richard Allen; Britton Boras

Affiliations1. Pfizer Inc. Translational Clinical Sciences Cambridge Massachusetts USA; 2. Pfizer Inc., R&D Pearl River New York USA; 3. Pfizer Inc., R&D, UK London UK; 4. Pfizer Inc. Preclinical & Translational Sciences La Jolla California USA

Source PDF DOI Publisher page

Expert Matching · Case Demo

Turn Your Submission Goalsinto a Verifiable Journal Plan

Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.

CrushSCI online

Client

I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?

CrushSCI

Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.

Suggested title
Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review96.4 days

Median77 days

Contact CrushSCI

Contact CrushSCI

Leave your contact details so we can discuss your manuscript, editing needs, and submission plan.

Selected service: Paper Editing Service

Or leave your contact details

WhatsApp, Telegram, WeChat, and email are all optional, but at least one is required. Once received, we will contact you as soon as possible.