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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

334
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
334
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

266
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
266
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

439
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
439
Hazard Ratio01:12

Hazard Ratio

480
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
480
Bioavailability Study Design: Single Versus Multiple Dose Studies01:11

Bioavailability Study Design: Single Versus Multiple Dose Studies

136
Bioavailability studies are essential for understanding how a drug is absorbed, distributed, metabolized, and excreted in the body. These studies assess the extent and rate at which the active pharmaceutical agent becomes available at the site of action. The design of bioavailability studies can involve single-dose or multiple-dose regimens, each with distinct advantages and limitations.Single-dose studies are the preferred approach due to their simplicity and reduced drug exposure for...
136
Bioequivalence of Drugs: Drugs with Multiple Indications01:09

Bioequivalence of Drugs: Drugs with Multiple Indications

101
The concept of therapeutic equivalence (TE) in drugs with multiple indications is complex. A generic drug may be therapeutically equivalent to a brand-name product for one specific indication, but this doesn't necessarily mean it's equivalent for all other indications. Evidence of TE in one patient group and bioequivalence shown in healthy volunteers can support—but not confirm—TE for other indications. However, definitive proof requires individual clinical studies for each...
101

You might also read

Related Articles

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

Sort by
Same author

Molecular systems architecture of host-microbiome interactions in periodontitis.

JADA foundational science·2026
Same author

The Effects of Carnosine on Cognitive Function and Mental Health-A Systematic Review and Meta-Analysis.

Nutrients·2026
Same author

A molecular systems architecture of asthma.

Frontiers in immunology·2026
Same author

Compendial Perspectives on Botanical Identity Testing.

Journal of natural products·2026
Same author

Mitochondrial Dysfunction in Sickle Cell Trait Carriers With Exertional Collapse.

Case reports in genetics·2025
Same author

Effects of Prenatal Exposure to Ozone, Heatwave and Green Space on Neonatal Congenital Heart Disease: A Case-Control Study in Eastern China.

Toxics·2025

Related Experiment Video

Updated: Dec 23, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.8K

Multi-Criteria Decision Analysis Model for Assessing the Risk from Multi-Ingredient Dietary Supplements (MIDS).

Hellen A Oketch-Rabah1, Mary L Hardy2,3, Allison P Patton4

  • 1United States Pharmacopeial Convention (USP), Rockville, MD, USA.

Journal of Dietary Supplements
|April 23, 2020
PubMed
Summary
This summary is machine-generated.

Military personnel using dietary supplements (DS) face cardiovascular risks. A new multi-criteria decision analysis (MCDA) tool assesses multi-ingredient dietary supplement (MIDS) safety, providing a risk score to guide health decisions.

Keywords:
Cardiovasculardietary supplementsmulti-ingredient dietary supplementsrisksafety predictionsyncope

More Related Videos

Rapid Model to Evaluate the Anti-Obesity Potential of a Combination of Syzygium aromaticum Clove and Cuminun cyminum Cumin on C57BL6/j Mice Fed High-Fat Diet
13:09

Rapid Model to Evaluate the Anti-Obesity Potential of a Combination of Syzygium aromaticum Clove and Cuminun cyminum Cumin on C57BL6/j Mice Fed High-Fat Diet

Published on: July 31, 2021

4.0K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K

Related Experiment Videos

Last Updated: Dec 23, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.8K
Rapid Model to Evaluate the Anti-Obesity Potential of a Combination of Syzygium aromaticum Clove and Cuminun cyminum Cumin on C57BL6/j Mice Fed High-Fat Diet
13:09

Rapid Model to Evaluate the Anti-Obesity Potential of a Combination of Syzygium aromaticum Clove and Cuminun cyminum Cumin on C57BL6/j Mice Fed High-Fat Diet

Published on: July 31, 2021

4.0K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K

Area of Science:

  • Cardiovascular toxicology
  • Risk assessment modeling
  • Dietary supplement safety

Background:

  • Military personnel frequently use dietary supplements (DS) for performance and health.
  • Adverse events, including cardiovascular (CV) effects, are associated with DS use in this population.
  • Multi-ingredient dietary supplements (MIDS) present unique safety concerns.

Purpose of the Study:

  • To develop a model-based risk assessment tool for evaluating the safety of MIDS.
  • To specifically assess the risk of adverse CV effects from MIDS.
  • To integrate toxicology, exposure, and biologic plausibility data into a risk model.

Main Methods:

  • A novel multi-criteria decision analysis (MCDA) framework was developed.
  • The tool integrates four key measures based on available evidence and expert opinion.
  • Experts in toxicology, risk assessment, and related fields weighted the importance of these measures.

Main Results:

  • The MCDA tool provides a risk potential score from 0 (low risk) to 100 (high risk).
  • This score quantifies the relative risk of MIDS causing adverse CV reactions.
  • The model integrates diverse data to inform risk assessment, especially when data is limited.

Conclusions:

  • Expert opinion is crucial to supplement existing evidence in DS risk assessment.
  • Model-based approaches are valuable for assessing MIDS safety in data-scarce situations.
  • The developed MCDA model serves as a foundation for future refinement and validation.