Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Individualizing drug dosage by using a random intercept linear model.

Francisco J Diaz1, Tulia E Rivera, Richard C Josiassen

  • 1Department of Statistics, Universidad Nacional, A.A. 3840, Medellín, Colombia. fjdiaz@unal.edu.co

Statistics in Medicine
|July 19, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A cooking skills intervention for long-term weight loss in young adults with intellectual disabilities: Rationale and design for a randomized trial.

Contemporary clinical trials·2026
Same author

Temporal RT-qPCR-Based Porcine Cardiac Molecular Profiling for Post-Mortem Interval Estimation: Predictive Modeling.

International journal of molecular sciences·2026
Same author

Comparison of pembrolizumab dosing regimens and incidence and severity of immune-related adverse effects: A retrospective, case-control study.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists·2026
Same author

Prevalence and symptoms of post-COVID-19 syndrome in active-duty military personnel.

The American journal of the medical sciences·2026
Same author

Zinc Deficiency Disrupts Germ Cell Nest Breakdown During In Vitro Ovary Culture.

Molecular reproduction and development·2026
Same author

Testing the effects of a text message intervention on depression and distress among Latino dementia caregivers: A randomized controlled trial protocol.

Contemporary clinical trials·2026

This study introduces an algorithm for personalized drug dosing. It optimizes medication levels to achieve therapeutic target concentrations, demonstrated using clozapine for schizophrenia treatment.

Area of Science:

  • Pharmacometrics
  • Clinical Pharmacology
  • Computational Biology

Background:

  • Drug dosage individualization is crucial for effective treatment and minimizing adverse effects.
  • Achieving therapeutic drug concentrations requires precise dosing tailored to individual patient characteristics.
  • Schizophrenia treatment with antipsychotics like clozapine necessitates careful monitoring and dose adjustment.

Purpose of the Study:

  • To propose a novel algorithm for optimizing drug dosage based on individual patient data.
  • To determine the minimum computational steps required for the algorithm to identify optimal drug dosages.
  • To validate the algorithm's efficacy using clozapine dosage individualization for schizophrenia patients.

Main Methods:

  • Development of an algorithm based on a random intercept linear model for the log of the trough-plasma-concentration-to-dosage ratio.

Related Experiment Videos

  • Calculation of the minimum number of algorithm iterations needed to achieve the optimal dosage.
  • Application and illustration of the algorithm using pharmacokinetic data for clozapine.

    • Main Results:

    • The proposed algorithm effectively determines optimal drug dosages for individual patients.
    • The minimum number of steps required by the algorithm to find the optimal dosage was computed.
    • Demonstrated successful application of the algorithm for clozapine dosage individualization in simulated patient data.

    Conclusions:

    • The developed algorithm provides a robust method for drug dosage individualization.
    • This approach can enhance therapeutic outcomes by ensuring drug concentrations remain within the target range.
    • The algorithm shows promise for optimizing treatment regimens for antipsychotic medications like clozapine.