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Related Experiment Video

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Modelling during drug development.

L P Balant1, M Gex-Fabry

  • 1Department of Psychiatry, University of Geneva, Geneva, Switzerland. balant@cmu.unige.ch

European Journal of Pharmaceutics and Biopharmaceutics : Official Journal of Arbeitsgemeinschaft Fur Pharmazeutische Verfahrenstechnik E.V
|June 7, 2000
PubMed
Summary
This summary is machine-generated.

This review highlights the expanding role of modeling in drug development beyond pharmacokinetics and pharmacodynamics. New modeling applications promise to enhance drug development strategies and personalize patient treatments.

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Area of Science:

  • Pharmacology and Drug Development
  • Computational Biology
  • Biostatistics

Background:

  • Modern drug development integrates vast knowledge from early quantitative structure-activity relationship (QSAR) studies to large-scale clinical trials.
  • While modeling is established in pharmacokinetics and pharmacodynamics, its application is rapidly expanding into other drug development areas.
  • Intensive scientific activity focuses on leveraging computational approaches across the drug development pipeline.

Purpose of the Study:

  • To review and emphasize newer applications of modeling in drug development.
  • To present expert opinions on specialized areas of advanced modeling.
  • To discuss the future potential of modeling in improving drug discovery and patient treatment.

Main Methods:

  • Review of current scientific literature and expert opinions.
  • Focus on specialized areas including in vitro to in vivo extrapolation (IVIVE).
  • Exploration of toxicokinetics, non-continuous response models, population approaches, and clinical trial simulations.

Main Results:

  • Modeling's value is increasingly recognized beyond traditional pharmacokinetic and pharmacodynamic applications.
  • Emerging areas like IVIVE, toxicokinetics, and population modeling show significant promise.
  • Computer-assisted simulation of clinical trials offers new strategic possibilities.

Conclusions:

  • Advanced modeling techniques are poised to revolutionize drug development strategies.
  • Personalized pharmacological strategies for patients are likely to improve.
  • Continued research and development in these specialized modeling areas are expected.