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

Hematopoiesis01:21

Hematopoiesis

5.0K
The process of blood cell formation is called hematopoiesis. Hematopoiesis starts early during development, on the seventh day of embryogenesis. This phase of hematopoiesis is called the primitive wave, wherein the extraembryonic yolk sac allows the production of erythroid cells and endothelial cells from a common precursor called hemangioblast. The erythroid cells provide oxygen to support the growth of the rapidly dividing embryo. Hemangioblasts later develop into hematopoietic stem cells or...
5.0K

You might also read

Related Articles

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

Sort by
Same author

Pyrolytic hydrocarbon growth from cyclopentadiene.

The journal of physical chemistry. A·2010
Same author

In(III)-catalyzed tandem reaction of chromone-derived Morita-Baylis-Hillman alcohols with amines.

Organic & biomolecular chemistry·2010
Same author

Regression-based multi-trait QTL mapping using a structural equation model.

Statistical applications in genetics and molecular biology·2010
Same author

Elevated expression of APE1/Ref-1 and its regulation on IL-6 and IL-8 in bone marrow stromal cells of multiple myeloma.

Clinical lymphoma, myeloma & leukemia·2010
Same author

Accelerated aging of intervertebral discs in a mouse model of progeria.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·2010
Same author

The synthesis of a multiblock osteotropic polyrotaxane by copper(I)-catalyzed huisgen 1,3-dipolar cycloaddition.

Macromolecular bioscience·2010

Related Experiment Video

Updated: May 24, 2025

A Human Bone Marrow 3D Model to Investigate the Dynamics and Interactions Between Resident Cells in Physiological or Tumoral Contexts
09:07

A Human Bone Marrow 3D Model to Investigate the Dynamics and Interactions Between Resident Cells in Physiological or Tumoral Contexts

Published on: December 16, 2022

2.9K

Biological Data Resources and Machine Learning Frameworks for Hematology Research.

Ying Yi1, Yongfei Hu1, Juanjuan Kang2

  • 1Institute of Dermatology and Venereology, Dermatology Hospital, Southern Medical University, Guangzhou 510091, China.

Genomics, Proteomics & Bioinformatics
|March 4, 2025
PubMed
Summary
This summary is machine-generated.

Machine learning and diverse biological data enhance hematology research, improving diagnosis and treatment for blood cancers like leukemia and lymphoma. This approach offers new perspectives for managing hematologic disorders.

Keywords:
Biological resourceClinical resourceHematologic disorderHematopoiesisMachine learning

More Related Videos

Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells
08:09

Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells

Published on: June 19, 2019

9.2K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.6K

Related Experiment Videos

Last Updated: May 24, 2025

A Human Bone Marrow 3D Model to Investigate the Dynamics and Interactions Between Resident Cells in Physiological or Tumoral Contexts
09:07

A Human Bone Marrow 3D Model to Investigate the Dynamics and Interactions Between Resident Cells in Physiological or Tumoral Contexts

Published on: December 16, 2022

2.9K
Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells
08:09

Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells

Published on: June 19, 2019

9.2K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.6K

Area of Science:

  • Hematology
  • Bioinformatics
  • Computational Biology

Background:

  • Hematology research increasingly utilizes diverse biological data and advanced computational tools.
  • Understanding complex blood diseases like leukemia and lymphoma requires sophisticated analytical approaches.

Purpose of the Study:

  • To provide an overview of current biological data resources relevant to hematology.
  • To highlight the application of machine learning frameworks in hematology research.
  • To demonstrate how these integrations advance the diagnosis and treatment of hematologic disorders.

Main Methods:

  • Analysis of large-scale biological datasets using machine learning algorithms.
  • Integration of diverse data types for pattern identification in blood diseases.
  • Review of existing machine learning frameworks applicable to hematology.

Main Results:

  • Machine learning effectively identifies disease patterns and predicts treatment responses in hematologic disorders.
  • Integration of data resources deepens the understanding of leukemia and lymphoma.
  • Enhanced diagnostic accuracy and personalized treatment strategies are facilitated.

Conclusions:

  • The synergy between biological data resources and machine learning significantly advances hematology.
  • Machine learning offers novel perspectives for the diagnosis and treatment of hematologic conditions.
  • Continued integration promises further breakthroughs in understanding and managing blood diseases.