Personalized Dosing Models
Personalized Dosing Models is a computational or mathematical framework that integrates individual patient characteristics—such as genetics, physiology, and clinical biomarkers—to predict and optimize drug dosage regimens tailored to the specific therapeutic needs and response profiles of a given patient.
29
Publications
1.3K
Citations
172
Authors
87
Institutions
Publications per year
2017–2026
19
Parents
29
Patrick T. McGann, Omar Niss, Min Dong et al. · American Journal of Hematology · 2019 · 105 citations · Full text
Ami Batchelder, KA Guthrie, Robert P. Witherspoon et al. · Clinical Pharmacology & Therapeutics · 2009 · 82 citations · Full text
Medicine, Oncology, Pharmacology +17
1–5 of 29
172
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 172
87
University of Virginia
Charlottesville, United States
2 h-index
7 publications
165 citations
National University of Singapore
Singapore, Singapore
2 h-index
7 publications
188 citations
University of Florida
Gainesville, United States
2 h-index
3 publications
81 citations
Inje University
Gimhae, South Korea
2 h-index
7 publications
272 citations
Erasmus MC Cancer Institute
Rotterdam, The Netherlands
1 h-index
1 publications
32 citations
Republican Scientific and Practical Centre of Pulmonology and Tuberculosis
Minsk, Belarus
1 h-index
1 publications
39 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
2 publications
42 citations

Sichuan University
Chengdu, China
1 h-index
5 publications
90 citations
1–8 of 87
AAC · 2 publications · 60 citations
2
h-index
1 publications · 35 citations
1
h-index
JIMR · 1 publications · 14 citations
1
h-index
1 publications · 26 citations
1
h-index
TCP · 1 publications · 26 citations
1
h-index
1–5