Comparing the applications of machine learning, <scp>PBPK,</scp> and population pharmacokinetic models in pharmacokinetic <scp>drug–drug</scp> interaction prediction-Reference-Cited by-同舟云学术

Comparing the applications of machine learning, PBPK, and population pharmacokinetic models in pharmacokinetic drug–drug interaction prediction

Published:2022-10-12 Issue:12 Volume:11 Page:1560-1568
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacom & Syst Pharma

Author:

Gill Jaidip¹,Moullet Marie¹,Martinsson Anton²^ORCID,Miljković Filip²^ORCID,Williamson Beth³,Arends Rosalinda H.⁴,Pilla Reddy Venkatesh¹^ORCID

Affiliation:

1. Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences Biopharmaceuticals R&D, AstraZeneca Cambridge UK

2. Imaging and Data Analytics, Clinical Pharmacology & Safety Sciences Biopharmaceuticals R&D, AstraZeneca Gothenburg Sweden

3. Oncology DMPK Oncology R&D, AstraZeneca Cambridge UK

4. Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences Biopharmaceuticals R&D, AstraZeneca Gaithersburg MD USA

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.12870

Reference29 articles.

1. Polypharmacy prevalence among older adults based on the survey of health, ageing and retirement in Europe

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4. Applications of machine learning in drug discovery and development

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