A novel ontology-based biomedical search engine

When people search, they have questions in mind. GoPubMed allows to significantly faster find information needed through the use of background knowledge. GoPubMed:
  • retrieves PubMed abstracts for your search query,
  • detects terms from the Gene Ontology (GO) and Medical Subject Headings (MeSH) in the abstracts,
  • displays the subset of the GO and MeSH relevant to the keywords, and
  • allows you to browse the ontologies and display only papers containing specific GO and MeSH terms.

After performing a search, the resulting abstracts are annotated with your query keywords and GO and MeSH terms. The abstracts are grouped using the GO and MeSH terms, which appear in the text. Now the GO and MeSH hierarchies can be used to systematically explore the search results.

Note that only a subset of all GO and MeSH terms may be relevant to your query. This subset – more frequent terms - is presented on the left hand side. Sorting documents to a highly organised network facilitates the finding of relevant documents significantly.

The hierarchy of content shows the whole GO and MeSH ontologies. GO and MeSH serve as table of contents in order to structure the over 16 million articles of the MEDLINE data base.

About Gene Ontology (GO)
The GO provides a controlled vocabulary to describe gene and gene products in different organisms. GO is a knowledge network containing about 20.000 biological terms. It is built up as a directed acyclic graph starting from three basic areas namely

  • the molecular function of gene products,
  • their role in multi-step biological processes, and
  • their localization to cellular components.

GO terms are classified into only one of the three branches of the ontology. Although the ontology is presented as a tree, it is a network with cross links. So it is possible to navigate to a term of interest on different paths. Hence, a term of interest can be reached from quite different points of view.

About the Medical Subject Headings (MeSH)
MeSH is the controlled vocabulary thesaurus from National Library of Medicine's. It consists of sets of terms in a hierarchical structure that permits searching at various levels of specificity. At the most general level of the hierarchy are very broad headings such as "Anatomy" or "Diseases". More specific headings are found at more narrow levels.

There are more than 110,000 MeSH concepts in GoPubMed. There are also thousands of cross-references that assist in finding the most appropriate MeSH concept. So it is possible to navigate to a term of interest on different paths. Hence, a term of interest can be reached from quite different points of view. From the eleven levels of the MeSH hierarchy, GoPubMed uses the parts:

  • Anatomy,
  • Biological Sciences,
  • Chemicals and Drugs,
  • Diseases,
  • Health Care,
  • Natural Sciences,
  • Organisms,
  • Psychiatry and Psychology,
  • Techniques and Equipment, and
  • Technology, Industry, Agriculture

For further information, please visit:
http://www.gopubmed.com/

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...