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Related Concept Videos

Bone Marrow Sampling and Transplants01:22

Bone Marrow Sampling and Transplants

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Bone marrow transplant is a potential cure for several diseases, including cancer and specific genetic disorders. Notably, this procedure is applicable for patients suffering from aplastic anemia, certain types of leukemia, severe combined immunodeficiency disease (SCID), Hodgkin's disease, non-Hodgkin's lymphoma, multiple myeloma, thalassemia, sickle-cell disease, and certain cancers.
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The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
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Related Experiment Video

Updated: Aug 8, 2025

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
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DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance.

Gregory M Goldgof1,2,3, Shenghuan Sun2, Jacob Van Cleave3

  • 1Department of Laboratory Medicine, University of California, San Francisco, CA, USA.

Biorxiv : the Preprint Server for Biology
|March 3, 2023
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Summary
This summary is machine-generated.

A new AI tool, DeepHeme, accurately classifies bone marrow cells from images, outperforming human experts. This technology aids in diagnosing blood cancers and quantifying cell states like mitosis for clinical use.

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Area of Science:

  • Hematology
  • Computational Pathology
  • Artificial Intelligence

Background:

  • Morphology-based classification of bone marrow aspirate (BMA) cells is crucial for diagnosing hematologic malignancies.
  • This manual process is time-consuming and requires specialized expertise from hematopathologists and laboratory professionals.

Conclusions:

  • DeepHeme offers a highly accurate and efficient AI-driven solution for BMA cell classification.
  • The tool shows potential for improving the diagnosis and management of hematologic malignancies.
  • DeepHeme can reliably identify specific cell states, enabling cell-specific quantification of metrics like mitotic index for clinical applications.