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 Concept Videos

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

Pharmacokinetic–Pharmacodynamic Relationship: Problems

The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
Pharmacodynamics: Overview and Principles01:21

Pharmacodynamics: Overview and Principles

Pharmacodynamics is a scientific field that delves into drugs' intricate biochemical, cellular, and physiological effects on the human body. The study of pharmacodynamics helps us understand how drugs interact with the body and elicit various responses.
Most drugs' effects result from their interactions with drug receptors or targets within the body. These interactions trigger specific responses at the cellular or systemic level. Drug receptors can be found on the surfaces of cells or within...
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
Pharmacodynamic Responses: Different Types01:03

Pharmacodynamic Responses: Different Types

Pharmacodynamics is the scientific study of a drug's biochemical or physiological influence on the body. It categorizes responses into continuous, discrete (or categorical), and time-to-event outcomes. Continuous responses yield numerical values within a certain range, such as blood pressure readings and blood glucose levels, gauging the efficacy of antihypertensive and antidiabetic drugs. Discrete responses can be binary, indicating whether a drug has an effect or not, or ordinal, exemplifying...

You might also read

Related Articles

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

Sort by
Same author

UGT1A1 genotype testing for irinotecan: A guideline developed by the UK Centre of Excellence in Regulatory Science and Innovation in Pharmacogenomics (CERSI-PGx).

British journal of clinical pharmacology·2026
Same author

Cost-effectiveness of DPYD genotyping prior to fluoropyrimidine-based treatment for colorectal cancer in Wales.

British journal of clinical pharmacology·2026
Same author

ACKR1/Duffy-null genotype testing for clozapine: A guideline developed by the UK Centre of Excellence in Regulatory Science and Innovation in Pharmacogenomics (CERSI-PGx).

British journal of clinical pharmacology·2026
Same author

HLA genotype testing for carbamazepine, oxcarbazepine and eslicarbazepine: A guideline developed by the UK Centre of Excellence in Regulatory Science and Innovation in Pharmacogenomics (CERSI-PGx).

British journal of clinical pharmacology·2026
Same author

Guideline for the Measurement, Analysis and Reporting of Medication Adherence during the Run-in phase of clinical trials (MARMAR).

Trials·2026
Same author

Comment on "The Importance of Structured Expert Elicitation to Inform Outcomes Following Treatment Discontinuation: Evidence Assessment Group Perspective".

PharmacoEconomics·2026

Related Experiment Video

Updated: May 24, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Pharmacoeconomics.

Dyfrig A Hughes1

  • 1Centre for Health Economics and Medicines Evaluation, Institute of Medical and Social Care Research, Bangor University, Dean Street, Bangor, Gwynedd LL57 1UT, UK. d.a.hughes@bangor.ac.uk

British Journal of Clinical Pharmacology
|February 25, 2012
PubMed
Summary
This summary is machine-generated.

Pharmacoeconomics research is evolving, focusing on new methods for health technology assessment. Key areas include indirect comparisons, qualitative evidence synthesis, and improving quality-of-life measures for better medicine appraisal.

More Related Videos

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
09:17

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

Related Experiment Videos

Last Updated: May 24, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii
09:17

A Robust Pneumonia Model in Immunocompetent Rodents to Evaluate Antibacterial Efficacy against S. pneumoniae, H. influenzae, K. pneumoniae, P. aeruginosa or A. baumannii

Published on: January 2, 2017

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

Area of Science:

  • Health Economics
  • Health Technology Assessment

Background:

  • Pharmacoeconomics is crucial for appraising medicines within the UK National Health Service (NHS).
  • As a developing field, its methodologies require continuous advancement.

Purpose of the Study:

  • To identify priority areas for methodological development in pharmacoeconomics.
  • To enhance the appraisal of medicines and health technologies.

Main Methods:

  • Synthesizing evidence from indirect comparisons and qualitative data.
  • Addressing limitations in quality-of-life measurement tools like EQ-5D.
  • Exploring methods for cost-effectiveness extrapolation and early estimation.

Main Results:

  • Identified needs for advanced methods in evidence synthesis.
  • Highlighted the importance of incorporating broader benefits beyond QALYs.
  • Emphasized the role of behavioral economics and non-adherence in evaluations.

Conclusions:

  • Further methodological research is essential for robust pharmacoeconomic evaluations.
  • Developing new approaches will improve the accuracy and scope of health technology assessment.
  • Integrating patient-reported outcomes and behavioral factors is key for future research.