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

Genomics02:02

Genomics

36.3K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.3K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

4.9K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.9K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
12.8K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

7.0K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.0K
Nursing Clinical Information System01:27

Nursing Clinical Information System

777
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
777
  1. Home
  3. Biolord-2023: Semantic Textual Representations Fusing Large Language Models And Clinical Knowledge Graph Insights.
  1. Home
  3. Biolord-2023: Semantic Textual Representations Fusing Large Language Models And Clinical Knowledge Graph Insights.

Related Experiment Video

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

558

BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights.

François Remy1, Kris Demuynck1, Thomas Demeester1

  • 1Internet and Data Science Lab, imec, Ghent University, Ghent, Belgium.

Journal of the American Medical Informatics Association : JAMIA
|February 27, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces BioLORD-2023, a novel model enhancing semantic understanding in biomedical and clinical domains by integrating large language models (LLMs) with knowledge graphs. The model achieves state-of-the-art performance in semantic textual similarity and biomedical concept representation.

Keywords:
biological ontologiesknowledge basesmachine learningnatural language processingsemantics

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K
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

15.9K

Related Experiment Videos

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

558
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K
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

15.9K

Area of Science:

  • Biomedical Informatics
  • Natural Language Processing
  • Machine Learning

Background:

  • Biomedical knowledge graphs are crucial for semantic modeling.
  • Large Language Models (LLMs) offer advanced capabilities for text understanding.
  • Integrating LLMs with knowledge graphs can enhance biomedical and clinical semantic models.

Purpose of the Study:

  • To investigate the synergistic potential of LLMs and biomedical knowledge graphs.
  • To develop a state-of-the-art semantic model for biomedical and clinical domains.
  • To improve high-fidelity representations of biomedical concepts and sentences.

Main Methods:

  • Utilized the Unified Medical Language System (UMLS) knowledge graph.
  • Employed cutting-edge LLMs for representation learning.
  • Implemented a three-step approach: contrastive learning, self-distillation, and weight averaging.

    • Main Results:

    • Achieved state-of-the-art results on semantic textual similarity (STS) and biomedical concept representation (BCR).
    • Demonstrated significant improvements in clinically named entity linking across 15+ datasets.
    • Released a multilingual model supporting 50+ languages, fine-tuned on 7 European languages.

    Conclusions:

    • BioLORD-2023 offers substantial benefits for clinical pipelines and bioinformatics research.
    • The multilingual model democratizes advancements in biomedical semantic representation learning globally.
    • BioLORD-2023 is positioned as a valuable tool for future biomedical applications.