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相关概念视频

Bone Marrow Sampling and Transplants01:22

Bone Marrow Sampling and Transplants

268
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.
The transplant begins with high doses of chemotherapy and radiation treatment, which aim to destroy...
268
Tissue Transplantation01:24

Tissue Transplantation

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Tissue transplantation is a significant medical procedure involving the transfer of cells, tissues, or organs from a donor to a recipient, with the primary aim of restoring lost functions. This procedure is crucial in treating a broad spectrum of diseases, including kidney diseases, liver failure, heart disease, and certain types of cancers.
The Biology of Tissue Transplantation
The biology of tissue transplantation hinges on the Major Histocompatibility Complex (MHC) molecules. These molecules...
320

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相关实验视频

Updated: May 3, 2026

Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation
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Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation

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实体器官移植中的机器学习:绘制不断变化的景观图.

Badi Rawashdeh1, Haneen Al-Abdallat2, Emre Arpali3

  • 1Division of Transplant Surgery, Medical College of Wisconsin, Milwaukee, WI 53202, United States. brawashdeh@mcw.edu.

World journal of transplantation
|March 19, 2025
PubMed
概括
此摘要是机器生成的。

机器学习 (ML) 越来越多地用于固体器官移植研究,自2018年以来出版物显著增加. 这一趋势凸显了ML在改善患者结果和推进移植医学方面的潜力.

关键词:
人工智能的人工智能图书统计学分析机器学习是机器学习.实体器官移植 实体器官移植

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A Novel Microsurgical Model for Heterotopic, En Bloc Chest Wall, Thymus, and Heart Transplantation in Mice
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Author Spotlight: Enhancing Transplantation Research Through MicroCT Angiography in Murine Models
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09:03

Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation

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A Novel Microsurgical Model for Heterotopic, En Bloc Chest Wall, Thymus, and Heart Transplantation in Mice
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科学领域:

  • 移植医学 移植医学
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 机器学习 (ML) 在医疗保健方面取得了重大进展,特别是在固体器官移植方面.
  • 通过数据分析和结果预测,ML有助于供体与受体匹配,移植后监测和患者护理.

研究的目的:

  • 在移植中对ML的研究进行全面的文献分析.
  • 确定当前的研究趋势及其在该领域的影响.

主要方法:

  • 在Web of Science数据库中使用ML和移植关键字进行了系统的搜索.
  • 用VOS浏览器软件对427篇相关文章进行了文献计量分析.
  • 分析的关键变量包括出版物数量,引用量,贡献国和机构.

主要成果:

  • 移植ML的出版量急剧增加,特别是在2018年之后.
  • 美国是主要的贡献者,有209个出版物.
  • 关键的研究主题包括患者的生存率,死亡率,结果,分配和风险评估.

结论:

  • 越来越多的出版物强调了ML在固体器官移植研究中日益重要的重要性.
  • ML具有巨大的潜力,可以改变移植实践并改善患者的治疗结果.
  • 主要贡献者之间的加强合作可以加快跨学科领域的进展.