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

Cross-reactivity00:42

Cross-reactivity

Overview
Allergic Reactions02:06

Allergic Reactions

Overview
Vaccinations01:51

Vaccinations

Overview
Pharmacovigilance01:19

Pharmacovigilance

Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Allergic Drug Reactions01:27

Allergic Drug Reactions

Allergic reactions related to drugs are hypersensitivity responses driven by the immune system and bear no connection to the drug's therapeutic action. While drugs in isolation do not trigger an immune response, they can interact with endogenous proteins to form antigens. These antigens stimulate lymphocytes to produce antibodies. IgE-type antibodies attach themselves to mast cells. Upon subsequent exposure to the same stimulus, the antigen-antibody interaction is initiated, unleashing numerous...
Hypersensitivity Reactions: Immune-Complex Reactions01:19

Hypersensitivity Reactions: Immune-Complex Reactions

Type III hypersensitivity reactions occur when antigen–antibody complexes form and activate the complement system. Normally, these complexes help the clearance of antigens by phagocytes and red blood cells. However, when large numbers of immune complexes are present, they can deposit in tissues—particularly in the walls of blood vessels—leading to inflammation and tissue injury. These deposits trigger complement activation and neutrophil recruitment, resulting in serum sickness, a systemic...

You might also read

Related Articles

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

Sort by
Same author

Intrinsic immunogenicity is a major determinant of type-specific responses in SARS-CoV-2 infections.

Nature immunology·2025
Same author

COVID-19 Vaccination and Odds of Post-COVID-19 Condition Symptoms in Children Aged 5 to 17 Years.

JAMA network open·2025
Same author

Association of Messenger RNA Coronavirus Disease 2019 (COVID-19) Vaccination and Reductions in Post COVID Conditions Following Severe Acute Respiratory Syndrome Coronavirus 2 Infection in a US Prospective Cohort of Essential Workers.

The Journal of infectious diseases·2024
Same author

Influenza Vaccine Effectiveness Against Illness and Asymptomatic Infection in 2022-2023: A Prospective Cohort Study.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2024
Same author

Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of International Classification of Diseases, Tenth Revision, Clinical Modification codes.

American journal of epidemiology·2024
Same author

Effectiveness of Recombinant Zoster Vaccine Against Herpes Zoster in a Real-World Setting.

Annals of internal medicine·2024

Related Experiment Video

Updated: Jun 30, 2026

In Vivo Assay for Detection of Antigen-specific T-cell Cytolytic Function Using a Vaccination Model
07:05

In Vivo Assay for Detection of Antigen-specific T-cell Cytolytic Function Using a Vaccination Model

Published on: November 28, 2017

Detecting possible vaccination reactions in clinical notes.

Brian Hazlehurst1, John Mullooly, Allison Naleway

  • 1Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
PubMed
Summary

This study improved detecting vaccine adverse events using natural language processing (NLP) on electronic medical records (EMRs). The MediClass system enhanced accuracy in identifying potential vaccine reactions compared to standard coding methods.

More Related Videos

Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector
08:10

Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector

Published on: November 28, 2018

Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique
09:37

Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique

Published on: September 23, 2022

Related Experiment Videos

Last Updated: Jun 30, 2026

In Vivo Assay for Detection of Antigen-specific T-cell Cytolytic Function Using a Vaccination Model
07:05

In Vivo Assay for Detection of Antigen-specific T-cell Cytolytic Function Using a Vaccination Model

Published on: November 28, 2017

Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector
08:10

Simultaneous Quantification of Anti-vector and Anti-transgene-Specific CD8+ T Cells Via MHC I Tetramer Staining After Vaccination with a Viral Vector

Published on: November 28, 2018

Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique
09:37

Detection of Polyfunctional T Cells in Children Vaccinated with Japanese Encephalitis Vaccine via the Flow Cytometry Technique

Published on: September 23, 2022

Area of Science:

  • Public Health
  • Biomedical Informatics
  • Vaccinology

Background:

  • The Vaccine Safety Datalink (VSD) project, a collaboration between the CDC and large health maintenance organizations (HMOs), aims to monitor adverse events following immunization.
  • Accurate identification of potential vaccine reactions from electronic medical records (EMRs) is crucial for vaccine safety surveillance.
  • Existing methods relying on administrative and clinical codes have limitations in detecting subtle or varied adverse events.

Purpose of the Study:

  • To adapt and enhance the MediClass system, utilizing natural language processing (NLP) and knowledge-based methods, for detecting potential vaccine reactions within EMRs.
  • To develop specific knowledge bases for MediClass to accurately classify clinical encounters (outpatient, emergency department, telephone) related to immunizations.
  • To evaluate the generalizability and effectiveness of the modified MediClass system in a large HMO population.

Main Methods:

  • Modification of the existing MediClass system to incorporate NLP and knowledge-based approaches for classifying clinical encounters.
  • Development of a specialized knowledge base for identifying potential vaccine reactions within EMR data.
  • Training the MediClass system using a manually curated gold standard dataset to achieve high sensitivity and specificity.
  • Validation of the system's performance on a large set of post-immunization encounter records.

Main Results:

  • The MediClass system, after training, demonstrated high sensitivity and specificity in identifying potential vaccine reactions.
  • The system successfully generalized to a large dataset of post-immunization encounters.
  • Compared to traditional methods using administrative and clinical codes, the NLP-based MediClass system significantly improved the positive predictive value for detecting possible vaccine reactions.

Conclusions:

  • The modified MediClass system effectively identifies potential vaccine reactions from EMR data using NLP and knowledge-based methods.
  • This approach offers a significant improvement over standard coding methods for vaccine safety signal detection.
  • The findings support the utility of advanced computational methods in enhancing post-licensure vaccine safety surveillance.