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 Experiment Videos

A java-based application for differential diagnosis of hematopoietic neoplasms using immunophenotyping by flow

A N Nguyen1, J D Milam, K A Johnson

  • 1Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Texas, USA. nguyen@casper.med.uth.tmc.edu

Computers in Biology and Medicine
|May 24, 2000
PubMed
Summary

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

The variety and origin of materials accreted by Bennu's parent asteroid.

Nature astronomy·2025
Same author

Mineralogical evidence for hydrothermal alteration of Bennu samples.

Nature geoscience·2025
Same author

Pebbles and sand on asteroid (162173) Ryugu: In situ observation and particles returned to Earth.

Science (New York, N.Y.)·2022
Same author

Characteristics of severe malaria in hospitalized children in Ho Chi Minh City from 2012 to 2019.

Tropical biomedicine·2021
Same author

Inhibition of p38alpha MAPK enhances proteasome inhibitor-induced apoptosis of myeloma cells by modulating Hsp27, Bcl-X(L), Mcl-1 and p53 levels in vitro and inhibits tumor growth in vivo.

Leukemia·2006
Same author

Detecting bacteria in platelet concentrates by use of reagent strips.

Transfusion·2002

A Java application aids in diagnosing hematopoietic neoplasms using flow cytometry immunophenotyping. This web-based tool supports clinical decisions by offering a knowledge base for 33 neoplasms and 43 markers.

Area of Science:

  • Hematology
  • Bioinformatics
  • Medical Informatics

Background:

  • Accurate differential diagnosis of hematopoietic neoplasms is crucial for effective treatment.
  • Immunophenotyping by flow cytometry is a key diagnostic method.
  • There is a need for accessible, user-friendly decision-support tools in clinical settings.

Purpose of the Study:

  • To describe the implementation of a Java-based application for the differential diagnosis of hematopoietic neoplasms.
  • To present a web-based decision-support system utilizing immunophenotyping data.
  • To highlight the utility of Java in developing platform-independent medical software.

Main Methods:

  • Development of a Java applet incorporating a knowledge base.
  • Inclusion of data for 33 hematopoietic neoplasms and 43 immunophenotyping markers.

Related Experiment Videos

  • Implementation as a platform-independent module for World Wide Web accessibility.

    • Main Results:

    • A functional Java application for differential diagnosis of hematopoietic neoplasms was successfully implemented.
    • The application includes a comprehensive knowledge base of relevant neoplasms and markers.
    • The platform-independent nature allows for broad accessibility via the World Wide Web.

    Conclusions:

    • Java-based applications can significantly contribute to developing web-based decision-support systems.
    • Web-based software holds potential to become central to clinical decision-making.
    • This application demonstrates a practical approach to integrating computational tools into hematologic diagnostics.