Perspectives on Model‐Informed Precision Dosing in the Digital Health Era: Challenges, Opportunities, and Recommendations-Reference-Cited by-同舟云学术

Perspectives on Model‐Informed Precision Dosing in the Digital Health Era: Challenges, Opportunities, and Recommendations

Published:2020-10-17 Issue:1 Volume:109 Page:29-36
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin. Pharmacol. Ther.

Author:

Kluwe Franziska¹²^ORCID,Michelet Robin¹^ORCID,Mueller‐Schoell Anna¹²^ORCID,Maier Corinna²³^ORCID,Klopp‐Schulze Lena¹²^ORCID,Dyk Madelé⁴^ORCID,Mikus Gerd¹⁵^ORCID,Huisinga Wilhelm³^ORCID,Kloft Charlotte¹

Affiliation:

1. Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy Freie Universität Berlin Berlin Germany

2. Graduate Research Training Program PharMetrX Freie Universität Berlin and Universitaet Potsdam Berlin Germany

3. Institute of Mathematics Universität Potsdam Potsdam Germany

4. Flinders Centre for Innovation in Cancer, College of Medicine & Public Health Flinders University Adelaide Australia

5. Department of Clinical Pharmacology and Pharmacoepidemiology University Hospital Heidelberg Heidelberg Germany

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpt.2049

Reference11 articles.

1. Why Has Model-Informed Precision Dosing Not Yet Become Common Clinical Reality? Lessons From the Past and a Roadmap for the Future

2. Bayesian Data Assimilation to Support Informed Decision Making in Individualized Chemotherapy

3. Clinical Decision Support Tools: The Evolution of a Revolution

4. Integrated Data Analysis of Six Clinical Studies Points Toward Model-Informed Precision Dosing of Tamoxifen

5. An evaluation of the user‐friendliness of Bayesian forecasting programs in a clinical setting

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