Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Prescription, Nonprescription and Orphan Drugs

Prescription, Nonprescription and Orphan Drugs

Prescription drugs require a prescription from a medical practitioner and can only be obtained from a pharmacy. They have many applications, including treating pain, anxiety, and hypertension.
The misuse and addiction to prescription drugs is a growing problem that can affect people of all age groups, specifically teenagers. This can happen when prescription medications are used in ways not intended by the prescriber, such as taking someone else's prescription or using medication for...

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...

Pharmacodynamic Models: Overview

Pharmacodynamic Models: Overview

Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

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).

You might also read

Related Articles

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

Sort by

Same author

Driveline Relocation and Vacuum-Assisted Closure for Ventricular Assist Device Driveline Infections.

Journal of cardiovascular development and disease·2025

Same author

[MSB-06] Retrospective Cohort Analysis of Ventricular Assist Device Driveline Infections: A Single-Center Experience.

Turk gogus kalp damar cerrahisi dergisi·2025

Same author

[MEP-19] Surgery for A Giant Atherosclerotic Left Main Trifurcation Saccular Coronary Artery Aneurysm.

Turk gogus kalp damar cerrahisi dergisi·2025

Same author

Long-term outcomes after bioprosthetic tricuspid valve replacement: a multicenter study.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery·2025

Same author

Surgery for a giant atherosclerotic left main trifurcation saccular coronary artery aneurysm.

Perfusion·2024

Same author

Use of Intravesical Tranexamic Acid for Severe Macroscopic Hematuria in a Biventricular Assist Device-Implanted Child.

Turkish archives of pediatrics·2024

Search research articles

Related Experiment Video

Updated: May 27, 2026

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

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

Published on: December 11, 2016

A prescription fraud detection model.

Karca Duru Aral¹, Halil Altay Güvenir, Ihsan Sabuncuoğlu

¹INSEAD, Technology & Operations Management Area, Fontainebleau, France.

Computer Methods and Programs in Biomedicine

|November 18, 2011

Summary

This study introduces a novel data-mining model to detect prescription fraud, significantly improving accuracy over manual methods. The model offers efficient, on-line risk prediction, reducing healthcare costs and enhancing compliance.

Related Experiment Videos

Last Updated: May 27, 2026

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

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

Published on: December 11, 2016

Area of Science:

Health Informatics
Data Mining
Medical Fraud Detection

Background:

Prescription fraud poses a significant financial burden on healthcare systems.
Current manual detection methods are costly and potentially misleading due to reliance on random sampling.

Purpose of the Study:

To develop and validate a novel data-mining model for detecting prescription fraud.
To assess the model's performance on real-world data from a multi-center medical prescription database.

Main Methods:

A novel distance-based data-mining approach was developed to assess fraudulent risk using cross-feature analysis.
The model was tested on an adult cardiac surgery database.

Main Results:

The proposed model achieved a true positive rate of 77.4% for fraudulent prescriptions.
The model demonstrated a low false positive rate of 6%.

Conclusions:

The developed model offers efficient on-line risk prediction and off-line analysis capabilities for prescription fraud.
Implementation in health authorities and insurance companies can improve review efficiency, ensure legal compliance, and reduce auditing costs.