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

Vaccinations01:51

Vaccinations

45.3K
Overview
45.3K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

181
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
181
Pharmacovigilance01:19

Pharmacovigilance

993
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...
993
Cancer Vaccines01:30

Cancer Vaccines

510
Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
510
Leaky Scanning02:28

Leaky Scanning

5.2K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.2K

You might also read

Related Articles

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

Sort by
Same author

The imaginary divide between mental and "physical" health: Dismantling dualism and reductionism to address a monumental mistake in medicine.

JCPP advances·2026
Same author

Integrating evolutionary and compositional features with ML and DL for robust and interpretable druggable protein prediction.

Journal of computer-aided molecular design·2026
Same author

Enhanced biomethane production associated with olivine-stimulated CO<sub>2</sub> reduction in petroleum reservoir production water.

Bioresource technology·2026
Same author

The Maternal Vaccine Study Protocol: A Victorian Cohort Study Evaluating Infant and Childhood Safety and Health and Developmental Outcomes After Vaccination Against Respiratory Viruses in Pregnancy.

Vaccines·2026
Same author

Delayed diagnosis is associated with complications following invasive meningococcal disease in Australian adolescents and young adults.

Infection·2026
Same author

Maternal preferences for infant respiratory syncytial virus (RSV) preventives: an Australian discrete choice experiment.

Vaccine·2026

Related Experiment Video

Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

682

Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using

Sedigh Khademi1, Jim Black2, Christopher Palmer1

  • 1Murdoch Children's Research Institute, Parkville, Australia.

Studies in Health Technology and Informatics
|August 8, 2025
PubMed
Summary

Fine-tuned Llama 3 models accurately extract vaccine information from emergency notes for safety surveillance. This approach supports early detection of adverse events following immunization, enhancing public health.

Keywords:
Emergency departmentNatural language processingvaccine safety

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

579
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

Related Experiment Videos

Last Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

682
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

579
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Vaccine Safety Surveillance

Background:

  • Emergency department triage notes contain valuable data for public health.
  • Manual extraction of vaccine information is time-consuming and resource-intensive.
  • Automated methods are needed for efficient vaccine safety surveillance.

Purpose of the Study:

  • To evaluate fine-tuned Llama 3 models for extracting vaccine-related information from emergency department triage notes.
  • To compare the performance of large language models against a rule-based approach.
  • To assess the feasibility of deploying these models in resource-constrained settings.

Main Methods:

  • Utilized prompt engineering to create a labeled dataset from triage notes.
  • Fine-tuned Llama 3.2 models on the labeled dataset.
  • Compared performance of fine-tuned models, prompt-engineered models, and a rule-based system.
  • Employed model quantization for efficient deployment.

Main Results:

  • The fine-tuned Llama 3 billion parameter model demonstrated superior accuracy in extracting vaccine names.
  • Quantization facilitated efficient deployment in environments with limited resources.
  • The study confirmed the potential of LLMs for automating data extraction.

Conclusions:

  • Fine-tuned large language models show significant promise for automating vaccine safety surveillance.
  • This technology can support near real-time detection of adverse events following immunization.
  • Automated data extraction from clinical notes enhances public health monitoring capabilities.