Jove
Visualize
Contact Us

Related Experiment Videos

Pathology data integration with eXtensible Markup Language.

Jules J Berman1

  • 1Cancer Diagnosis Program, National Cancer Institute, National Institutes of Health, Bethesda, USA. bermanj@mail.nih.gov

Human Pathology
|March 9, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

DIFFERENTIATION OF A PRIMARY CHEMICALLY INDUCED RAT NEPHROBLASTOMA IN ORGAN CULTURE.

Development, growth & differentiation·2023
Same author

Post-Informatics pathology.

Journal of pathology informatics·2011
Same author

Informatics research using publicly available pathology data.

Journal of pathology informatics·2011
Same author

The tissue microarray OWL schema: An open-source tool for sharing tissue microarray data.

Journal of pathology informatics·2010
Same author

Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE).

Nature biotechnology·2008
Same author

Availability and quality of paraffin blocks identified in pathology archives: a multi-institutional study by the Shared Pathology Informatics Network (SPIN).

BMC cancer·2007
Same journal

TRPS1 and GATA3 Expression in BRG1/SMARCA4-deficient Malignant Neoplasms.

Human pathology·2026
Same journal

Clinicopathologic and Molecular Characteristics of Acral Melanomas Harboring RARA Fusions.

Human pathology·2026
Same journal

Clinical Impact of Second Opinion Consultation in Bladder Biopsies and Transurethral Resection of Bladder Tumors.

Human pathology·2026
Same journal

Prognostic relevance and molecular correlates of Claudin-1 expression in pancreatic neuroendocrine tumors.

Human pathology·2026
Same journal

Mixed Phenotype Acute Leukemia: Lineage Assignment, Immunophenotypic Classification and Genetic Insights.

Human pathology·2026
Same journal

Chronic myelomonocytic leukemia revisited: A comprehensive review with emphasis on the oligomonocytic subtype.

Human pathology·2026
See all related articles
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

eXtensible Markup Language (XML) enables pathologists to structure pathology reports as databases. This approach enhances data organization, facilitates querying, and links pathology data with other biomedical information, reducing reliance on centralized systems.

Area of Science:

  • Pathology informatics
  • Biomedical data management
  • Health data standards

Background:

  • Pathology reports contain rich clinical and anatomic data.
  • Current data organization methods may be fragmented or proprietary.
  • Standardized data formats are needed for interoperability.

Purpose of the Study:

  • To introduce pathologists to eXtensible Markup Language (XML).
  • To demonstrate XML's utility in annotating and structuring pathology data.
  • To highlight XML's role in data integration and reducing database dependency.

Main Methods:

  • Overview of XML principles for data annotation.
  • Illustrative examples of XML application in pathology reports.
  • Discussion of querying and merging XML-formatted data.

Related Experiment Videos

Main Results:

  • XML transforms pathology reports into structured, queryable databases.
  • Pathology data can be annotated at the element level using XML.
  • XML facilitates the creation of common data formats for reports.

Conclusions:

  • XML is crucial for modern pathology data organization.
  • Implementing XML enhances data accessibility and interoperability.
  • XML reduces reliance on centralized, proprietary data systems.