Adaptive Dosing Algorithms is a computational methodology that dynamically adjusts drug dosage regimens in real time based on individual patient response data, distinguishing itself from static or population-average dosing approaches through its integration of feedback-driven modeling and personalized therapeutic goals.
39
Publications
1.8K
Citations
202
Authors
92
Institutions
Publications per year
2017–2026
15
Variants
Adaptive Dosing Algorithm
Parents
Publications
39
1–5 of 39
Authors
202
- JC
4
h-index
- FD
4
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- RF
3
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- DB
3
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- BL
3
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1–5 of 202
Institutions
92
Hôpital de la Timone
Marseille, France
4 h-index
16 publications
695 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
3 publications
362 citations
Emory University
Atlanta, United States
2 h-index
3 publications
417 citations
Cleveland Clinic
Cleveland, United States
2 h-index
3 publications
94 citations
Novartis (United States)
New York, United States
2 h-index
3 publications
407 citations
Newcastle University
Newcastle upon Tyne, United Kingdom
2 h-index
10 publications
493 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
4 publications
64 citations
Eli Lilly (United States)
Indianapolis, United States
2 h-index
12 publications
714 citations
1–8 of 92
Venues
- PubMed
Repository · 3 publications · 83 citations
3
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- Mathematical Biosciences
2 publications · 168 citations
2
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- CPT Pharmacometrics & Systems Pharmacology
PSP · 2 publications · 128 citations
2
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- Journal of Clinical Medicine
1 publications · 20 citations
1
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- Statistics in Biopharmaceutical Research
SBR · 1 publications · 43 citations
1
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