Model-based Dose Individualization

Model-Based Dose Individualization is a pharmacokinetic modeling strategy that employs population pharmacokinetic models and Bayesian inference to tailor drug dosing regimens to individual patients by updating prior expectations with patient-specific data to optimize therapeutic outcomes.

59

Publications

3K

Citations

317

Authors

142

Institutions

Publications per year

2017–2026

19

Variants

MipdModel-informed Precision Dosing

Authors

317

  1. SB
    Stephen B. Duffull

    University of Otago, New Zealand

    4 publications · 179 citations

    4

    h-index

  2. EJ
    Evan J. Begg

    Christchurch Hospital, New Zealand

    2 publications · 99 citations

    2

    h-index

  3. MK
    Masato Kaneko

    Bayer (Japan), Japan

    2 publications · 165 citations

    2

    h-index

  4. WM
    Wolfgang Mueck

    Bayer (Germany), Germany

    2 publications · 165 citations

    2

    h-index

  5. MK
    Mariko Kajikawa

    Bayer (Japan), Japan

    2 publications · 165 citations

    2

    h-index

1–5 of 317

Venues

  1. Clinical Pharmacokinetics

    4 publications · 103 citations

    4

    h-index

  2. Clinical Pharmacology & Therapeutics

    CPT · 4 publications · 205 citations

    4

    h-index

  3. Frontiers in Pharmacology

    2 publications · 32 citations

    3

    h-index

  4. British Journal of Clinical Pharmacology

    BJCP · 2 publications · 87 citations

    2

    h-index

  5. Drug Metabolism and Pharmacokinetics

    DMPK · 2 publications · 165 citations

    2

    h-index

1–5