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

Analgesia and Pain Management01:25

Analgesia and Pain Management

422
Pain is critical to various clinical pathologies, provoking an urgent need for effective management. Pain, whether acute or chronic, is a complex neurochemical process. Its alleviation depends on the type, with nonopioid analgesics effective for mild to moderate pain, such as musculoskeletal or inflammatory pain, while neuropathic pain responds best to anticonvulsants, tricyclic antidepressants, or serotonin/norepinephrine reuptake inhibitors. For severe acute or chronic pain, opioids may be...
422
Observational Studies01:11

Observational Studies

8.2K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.2K
Opioid Receptors: Overview01:22

Opioid Receptors: Overview

422
Opioid receptors, including the mu (μ, MOR), delta (δ, DOR), and kappa (κ, KOR) types, belong to the rhodopsin family of G protein-coupled receptors. These receptors are located throughout the central and peripheral nervous systems and in non-neuronal tissues such as macrophages and astrocytes. Opioid receptor ligands can be categorized into agonists or antagonists. Highly selective agonists include [d-Ala2, MePhe4, Gly(ol)5]-enkephalin or DAMGO for MOR, [D-Pen2,...
422
Opioid Analgesics: Synthetic and Semisynthetic Opioids01:15

Opioid Analgesics: Synthetic and Semisynthetic Opioids

204
Synthetic and semisynthetic opioids are pivotal in pain management and tackling opioid addiction. Semisynthetic opioids, including morphinans (morphine derivatives), oxycodone, oxymorphone, hydrocodone, and hydromorphone, have improved pharmacokinetic profiles compared to morphine. Additionally, heroin and 6-MAM (6-Monoacetylmorphine) show better CNS penetration than morphine due to heightened lipid solubility. Hydromorphone, a potent opioid, undergoes hepatic metabolism to form the active...
204
Drug Abuse and Addiction: Pharmacological Phenomena01:15

Drug Abuse and Addiction: Pharmacological Phenomena

422
Drug dependence, abuse, and addiction are complex phenomena that can precipitate various abnormal states. Physical dependence refers to a state of pharmacological adaptation to a drug. This adaptation often results in tolerance—a reduced response to the drug after repeated administrations. When the drug use is abruptly stopped, withdrawal symptoms occur due to the body's need to readjust from the pharmacologically induced imbalance. However, tolerance and withdrawal symptoms do not...
422
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

102
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
102

You might also read

Related Articles

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

Sort by
Same author

Plasmids of co-circulating Staphylococcus aureus serve as vehicles for antimicrobial resistance sharing across diseased host-species at short timescales.

BMC microbiology·2026
Same author

Next-Generation Sequencing in Differentiated Thyroid Cancer Patients Treated with Lenvatinib: Results and Challenges in Real-Life Practice.

Current oncology (Toronto, Ont.)·2026
Same author

Reunification of displaced children in a disaster: Can children provide information necessary for reunification?

American journal of disaster medicine·2026
Same author

Serum fatty acid distributions and prevalence of low omega-3 status in early pregnancy: A cross-sectional analysis of 26,389 samples from an omega-3 test-and-treat program.

Prostaglandins, leukotrienes, and essential fatty acids·2026
Same author

Teaching time in short supply: Preferred strategies for allocating traditional teaching duties among academic hospitalists across six institutions.

Journal of hospital medicine·2026
Same author

Ocular Matrix Metalloproteinases in Spaceflight.

Aerospace medicine and human performance·2025

Related Experiment Video

Updated: May 24, 2025

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
09:38

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

Published on: April 14, 2016

12.6K

Leveraging observational and prospective data to develop an opioid exposure detection model.

Seyed M Miran, Gregory Boverman, Sara Mariani

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    This study developed a computational model to detect opioid medication exposure using large clinical datasets. The model showed promising performance, achieving an area under the receiver operating characteristic curve of 0.68 in a clinical study.

    More Related Videos

    High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
    10:17

    High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

    Published on: April 23, 2019

    9.5K
    Use of the Operant Orofacial Pain Assessment Device OPAD to Measure Changes in Nociceptive Behavior
    12:20

    Use of the Operant Orofacial Pain Assessment Device OPAD to Measure Changes in Nociceptive Behavior

    Published on: June 10, 2013

    21.1K

    Related Experiment Videos

    Last Updated: May 24, 2025

    Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
    09:38

    Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery

    Published on: April 14, 2016

    12.6K
    High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
    10:17

    High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

    Published on: April 23, 2019

    9.5K
    Use of the Operant Orofacial Pain Assessment Device OPAD to Measure Changes in Nociceptive Behavior
    12:20

    Use of the Operant Orofacial Pain Assessment Device OPAD to Measure Changes in Nociceptive Behavior

    Published on: June 10, 2013

    21.1K

    Area of Science:

    • Computational Science
    • Clinical Informatics
    • Health Informatics

    Background:

    • Experimental studies are the gold standard for evidence generation.
    • Large clinical datasets offer opportunities for computational analysis when experiments are impractical.

    Purpose of the Study:

    • To develop and validate a computational model for detecting opioid medication exposure.
    • To assess the model's performance using real-world clinical data.

    Main Methods:

    • Utilized a large clinical database to train a predictive model.
    • Designed and conducted a clinical study to evaluate the model on unseen data.
    • Measured model performance using the area under the receiver operating characteristic curve (AUROC).

    Main Results:

    • The trained model achieved an AUROC of 0.76 during development.
    • The model demonstrated promising performance on retrospective clinical study data, with an AUROC of 0.68.

    Conclusions:

    • Computational models trained on large clinical datasets can effectively detect opioid medication exposure.
    • The developed model shows potential for application in clinical settings to identify patient opioid exposure.