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Related Concept Videos

Genomics02:02

Genomics

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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...
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Multiple Bar Graph01:07

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
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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
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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...
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Updated: Aug 8, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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AIMedGraph: a comprehensive multi-relational knowledge graph for precision medicine.

Xueping Quan1, Weijing Cai2, Chenghang Xi1

  • 1Department of Artificial Intelligence, Shanghai Tongshu Biotechnology Research Institute, No26 and 28, 377 Lane of Shanlian Road, Baoshan District, Shanghai 200444, China.

Database : the Journal of Biological Databases and Curation
|March 1, 2023
PubMed
Summary
This summary is machine-generated.

AIMedGraph integrates distributed knowledge on genes, variants, and drugs into a comprehensive knowledge graph. This resource aids in understanding disease mechanisms and developing targeted precision medicine therapies.

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Area of Science:

  • Biomedical Informatics
  • Genomics
  • Pharmacogenomics

Background:

  • High-throughput molecular testing advances disease research.
  • Interpreting genetic variant impact requires integrating scattered data from various sources.
  • A unified resource is needed for precision medicine knowledge.

Purpose of the Study:

  • To develop AIMedGraph, a knowledge graph for precision medicine.
  • To standardize and integrate information on genes, genetic alterations, and their therapeutic relevance.
  • To facilitate the interpretation of genetic variants in disease and treatment.

Main Methods:

  • Utilized Neo4j graph database to model precision medicine knowledge.
  • Collected and curated data on diseases, genes, variants, drugs, clinical trials, and literature.
  • Established relationships between entities, including drug interactions and variant pathogenicity.

Main Results:

  • AIMedGraph contains over 30,000 diseases, 26,000 genes, and 187,000 genetic variants.
  • Includes data on 2,800 drugs, 15,000 clinical trials, and over 797,000 literature studies.
  • Encompasses millions of edges representing interactions, drug susceptibility, pharmacogenomics, variant pathogenicity, and adverse reactions.

Conclusions:

  • AIMedGraph provides a centralized, evidence-based knowledge graph for precision medicine.
  • Enables inference of hidden knowledge and insights into molecular mechanisms of disease and drugs.
  • Supports the development and application of targeted therapies based on genetic information.