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

Ogive Graph01:07

Ogive Graph

An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this type...
Bar Graph01:07

Bar Graph

A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
Deductive Reasoning01:16

Deductive Reasoning

Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
Newman Projections02:06

Newman Projections

Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as conformers.

You might also read

Related Articles

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

Sort by
Same author

Advancing Whole-Person Health through Informatics: A Narrative Review of Knowledge Resources for Complementary and Integrative Health.

The Journal of nutrition·2026
Same author

Virus Monitoring in Denmark: A Community-Based Self-Sampling System to Surveil Respiratory Viruses and Associated Symptoms.

Journal of medical virology·2025
Same author

Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature.

Scientific reports·2024
Same author

Assessing household lifestyle exposures from consumer purchases, the My Purchases cohort.

Scientific reports·2023
Same author

Improving the Quality and Utility of Electronic Health Record Data through Ontologies.

Standards (Basel, Switzerland)·2023
Same author

Cotinine concentrations in maternal serum and amniotic fluid during pregnancy and risk of testicular germ cell cancer in the offspring: A prospective nested case-control study.

International journal of cancer·2023
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

Related Experiment Video

Updated: May 26, 2026

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

Graph-based methods for discovery browsing with semantic predications.

Bartłomiej Wilkowski1, Marcelo Fiszman, Christopher M Miller

  • 1Technical University of Denmark, DTU Informatics, Kongens Lyngby, DK-2800, Denmark.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|December 24, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces "discovery browsing," a novel method for navigating biomedical literature to uncover complex relationships. It aids researchers in exploring phenomena like inflammation and depression, enhancing scientific understanding.

Related Experiment Videos

Last Updated: May 26, 2026

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

Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Scientific Discovery

Background:

  • Literature-based discovery systems often generate numerous relationships, posing challenges for researchers.
  • Exploring complex biomedical phenomena requires advanced methods to navigate vast research literature.

Purpose of the Study:

  • To present a novel
  • discovery browsing
  • method for principled navigation of biomedical literature.
  • To facilitate the exploration of poorly understood relationships and novel research avenues.
  • To enhance understanding of complex disorders through literature analysis.

Main Methods:

  • The system utilizes SemRep semantic predications, representing biomedical knowledge as a graph.
  • It employs a
  • cooperative reciprocity
  • approach where users iteratively refine system output.
  • The methodology suggests paths within the semantic graph to reveal chains of relationships.

Main Results:

  • The discovery browsing approach allows users to explore research literature on specified phenomena.
  • It enables the identification of novel and potentially interesting relationships without prior knowledge.
  • The system effectively manages the large volume of relationships generated in literature-based discovery.

Conclusions:

  • This method offers a principled way to navigate and discover insights within biomedical literature.
  • Applied to depressive disorder, it highlights interactions between inflammation, circadian phenomena, and norepinephrine.
  • The approach can contribute to a deeper understanding of disease pathophysiology, treatment, and prevention.