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

Authors

172

  1. SK
    Scott K. Heysell

    University of Virginia, United States

    2 publications · 60 citations

    2

    h-index

  2. SM
    Stellah Mpagama

    Kilimanjaro Christian Medical Centre, Tanzania

    2 publications · 60 citations

    2

    h-index

  3. CA
    Charles A. Peloquin

    University of Florida, United States

    2 publications · 60 citations

    2

    h-index

  4. DH
    Dean Ho

    National University of Singapore, Singapore

    2 publications · 53 citations

    2

    h-index

  5. SA
    Sangzin Ahn

    Inje University, South Korea

    2 publications · 67 citations

    2

    h-index

1–5 of 172

Venues

  1. Antimicrobial Agents and Chemotherapy

    AAC · 2 publications · 60 citations

    2

    h-index

  2. Scientific Reports

    1 publications · 35 citations

    1

    h-index

  3. Journal of International Medical Research

    JIMR · 1 publications · 14 citations

    1

    h-index

  4. International Journal of Pharmaceutics

    1 publications · 26 citations

    1

    h-index

  5. Translational and Clinical Pharmacology

    TCP · 1 publications · 26 citations

    1

    h-index

1–5