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相关概念视频

Anticoagulant Drugs: Low-Molecular-Weight Heparins01:30

Anticoagulant Drugs: Low-Molecular-Weight Heparins

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Hemostasis is a crucial process that prevents excessive blood loss from damaged blood vessels. It involves various mechanisms such as vasoconstriction, platelet adhesion and activation, and fibrin formation. The importance of each mechanism depends on the type of vessel injury. In contrast, thrombosis is the abnormal formation of a blood clot within the blood vessels, leading to potential complications if the clot obstructs blood flow. Thrombosis can be caused by increased coagulability of the...
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Disorders of Hemostasis01:24

Disorders of Hemostasis

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Hemostasis, the process that stops bleeding after a blood vessel injury, is crucial for maintaining the integrity of the circulatory system. However, disorders of hemostasis can disrupt this delicate balance, leading to either excessive clotting or bleeding. These disorders can be broadly classified into thromboembolic disorders and bleeding disorders.
Thromboembolic Disorders
Two factors primarily cause thromboembolic conditions.
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Extrinsic and Intrinsic Pathways of Hemostasis01:20

Extrinsic and Intrinsic Pathways of Hemostasis

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Blood clotting or coagulation involves extrinsic and intrinsic pathways, which ultimately merge into the common pathway, forming a fibrin clot.
The Extrinsic Pathway
The extrinsic pathway of coagulation is typically initiated by tissue damage that exposes blood to tissue factor (TF), a protein released by the damaged tissue cells outside the blood vessels—this interaction with TF triggers biochemical reactions involving specific clotting factors. The key player here is Factor VII, which...
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Introduction to Hemostasis01:05

Introduction to Hemostasis

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Hemostasis is a complex physiological process that prevents excessive bleeding when a blood vessel is injured. It's crucial for maintaining the integrity of the circulatory system, as it ensures that our blood remains fluid while still within the vascular network and yet clots to prevent blood loss upon vessel injury.
The three phases of hemostasis involve many clotting factors present in plasma and several substances released by platelets and injured tissue cells. It is a fast, localized,...
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Clot Retraction and Fibrinolysis01:16

Clot Retraction and Fibrinolysis

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After a fibrin clot is formed, the next step is clot retraction, a vital process facilitated by platelet contractile proteins, such as actin and myosin. These proteins pull the fibrin strands closer together and condense the clot. This action reduces the size of the clot, creating a smaller, denser structure that effectively seals off the damaged vessel. Clot retraction consolidates the clot and helps with wound healing by bringing the edges of the damaged blood vessel closer together.
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Coagulation01:09

Coagulation

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The coagulation phase is a critical part of the body's process to prevent blood loss following injury to blood vessels. It involves chemical reactions that form a clot to seal the injured area. The clotting process begins shortly after injury, within 15-20 seconds for severe damage and 1-2 minutes for minor injuries.
During the coagulation phase, clotting factors, or procoagulants, play a vital role in initiating and progressing the coagulation cascade. This cascade is a series of reactions...
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相关实验视频

Updated: Jun 8, 2025

In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
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In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time

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机器学习在血栓形成和血液静止中的应用.

Henning Nilius1,2, Michael Nagler1

  • 1Department of Clinical Chemistry, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Hamostaseologie
|November 5, 2024
PubMed
概括

医学中的机器学习 (ML) 提供了变革性的潜力,但面临着信任问题. 本综述详细介绍了ML概念,陷和开发可靠临床算法的框架,特别是在血栓形成和血液静止方面.

科学领域:

  • 医学 医学 医学 医学 医学
  • 计算机科学 计算机科学
  • 生物技术是生物技术.

背景情况:

  • 机器学习 (ML) 是一种具有广泛应用的颠覆性技术.
  • 对临床环境中ML的可信度和监管监督存在担忧.
  • 过去的挑战凸显了需要仔细开发医疗用途的ML模型的需要.

研究的目的:

  • 解释基本的机器学习概念.
  • 举例介绍ML在血栓形成和血液静止中的应用.
  • 概述一个框架来开发有效的临床ML算法.

主要方法:

  • 审查机器学习的基本原则.
  • 来自血栓形成和血液静止研究的说明性例子.
  • 讨论在ML模型开发中的常见陷.
  • 临床ML的方法框架的介绍.

主要成果:

  • 机器学习算法在医学上有很大的潜力,但需要仔细实施.
  • 在整个ML开发生命周期中,医生和研究人员的参与至关重要.
  • 解决偏见,不平等和透明度是临床采用的关键.

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Microfluidic Flow Chambers Using Reconstituted Blood to Model Hemostasis and Platelet Transfusion In Vitro
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In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
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A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time
09:38

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time

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Microfluidic Flow Chambers Using Reconstituted Blood to Model Hemostasis and Platelet Transfusion In Vitro
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Microfluidic Flow Chambers Using Reconstituted Blood to Model Hemostasis and Platelet Transfusion In Vitro

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结论:

  • 结构化的方法和协作开发对于可信的临床ML至关重要.
  • 拟议的框架旨在指导为医疗保健创建有效和可靠的ML工具.
  • 持续的研究和医生科学家合作伙伴关系将在医疗应用中推进ML.