Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.8K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.8K
Regulation of Hematopoietic Stem Cells01:01

Regulation of Hematopoietic Stem Cells

3.3K
All blood and immune cells are produced from the multipotent hematopoietic stem cells (HSCs) by the process of hematopoiesis. However, they all have a limited life span. In addition, many are depleted in immune surveillance or combatting an injury or infection. This makes blood one of the most regenerative tissues. Hematopoiesis helps replenish these blood and immune cells, restoring the body's normal functioning. However, overproduction of blood and immune cells can make them cancerous or...
3.3K
Hematopoiesis01:21

Hematopoiesis

5.7K
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...
5.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A holistic prognostic model for leukemia-free survival after allogeneic transplantation in acute leukemia.

Bone marrow transplantation·2026
Same author

Clinically Relevant Bleeding in Individuals With Cancer: Insights From a Nationwide Cohort Study.

American journal of hematology·2026
Same author

Artificial intelligence triage tool for bone marrow fibrosis in myeloproliferative neoplasms using complete blood counts.

The Lancet. Haematology·2026
Same author

JAKPOT Prediction Rule for Erythrocytosis: External Validation and Cost-Effectiveness Analysis.

American journal of hematology·2026
Same author

Integrative Molecular Analysis Reveals Determinants of Clinical Outcomes in <i>TP53</i>-Mutated Diffuse Large B-Cell Lymphoma.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2026
Same author

Bringing the Teaching Close to Home: Implementation of a Near-Peer Model for Introductory Hematology-Oncology Fellowship Lecture Series.

Journal of cancer education : the official journal of the American Association for Cancer Education·2026
Same journal

Fibrocytes drive JAK2V617F-mutated myelofibrosis: pitavastatin reverses marrow fibrosis and anemia.

Blood·2026
Same journal

Identifying steroid-refractory aGVHD before it happens.

Blood·2026
Same journal

ELISA-negative HIT: antibody recognition and relevance.

Blood·2026
Same journal

EBV and immunodeficiency: the odd couple drawn to the brain.

Blood·2026
Same journal

A bone to pick with ferric carboxymaltose.

Blood·2026
Same journal

A step toward streamlining HIT diagnosis.

Blood·2026
查看所有相关文章

相关实验视频

Updated: Sep 10, 2025

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.2K

血液学中的人工智能

Aziz Nazha1, Olivier Elemento2, Sanjay Ahuja3

  • 1Thomas Jefferson University, Cherry Hill, New Jersey, United States.

Blood
|August 22, 2025
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 和机器学习 (ML) 为血液学提供了改进诊断和个性化治疗的变革潜力. 然而,目前数据质量,偏见和监管方面的挑战限制了这些强大工具的广泛临床采用.

更多相关视频

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

236
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.7K

相关实验视频

Last Updated: Sep 10, 2025

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.2K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

236
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.7K

科学领域:

  • 血液学
  • 人工智能 (AI)
  • 机器学习 (ML)
  • 生成性人工智能

背景情况:

  • 血液疾病的诊断和治疗依赖于整合各种数据 (成像,病理学,奥米克,实验室).
  • 越来越多的数据量和复杂性对临床决策构成了挑战.
  • AI/ML提供先进的建模以提高诊断准确性,风险分层和治疗预测.

研究的目的:

  • 从2025年开始,审查血液学中AI/ML的现状.
  • 确定AI/ML在临床实践中的现有缺陷.
  • 提供关于人工智能的未来发展和应用的见解.

主要方法:

  • 对血液学当前文献和AI/ML进展的审查.
  • 对生成人工智能对治疗策略和诊断工作流程的影响分析.
  • 确定阻碍AI/ML工具临床实施的挑战.

主要成果:

  • 从诊断到个性化患者管理,
  • 生成型人工智能可以增强新疗法,诊断图像/报告生成和患者护理个性化.
  • 由于数据质量,公平性,基础设施和评估指标的挑战,临床实施有限.

结论:

  • 包括生成性AI在内的AI/ML代表了血液学的重大飞跃.
  • 诸如偏见,数据质量和监管差距等关键挑战阻碍了广泛采用.
  • 解决这些挑战对于实现AI在临床血液学中的全部潜力至关重要.