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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

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Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

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Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
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Coronary Artery Disease II: Pathophysiology01:26

Coronary Artery Disease II: Pathophysiology

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Coronary Artery Disease (CAD) originates from a series of events that impair the function of coronary arteries, the blood vessels responsible for delivering oxygen-rich blood to the heart muscle. The pathophysiology of CAD is closely linked to atherosclerosis, a chronic inflammatory and lipid-driven condition affecting the vascular endothelium.1. Endothelial DamageThe process begins with damage to the vascular endothelium, which serves as a protective barrier between the blood and the vessel...
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Coronary Artery Disease IV: Preventive Measures01:26

Coronary Artery Disease IV: Preventive Measures

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Effective preventive measures for coronary artery disease (CAD) focus on controlling modifiable risk factors, including cholesterol abnormalities and lifestyle changes.Cholesterol ManagementFirst, the Mediterranean diet and the American Heart Association advocate for maintaining low-density lipoprotein (LDL) cholesterol levels below 100 mg/dL, with a more stringent recommendation of below 70 mg/dL for individuals at high risk. LDL cholesterol, often termed "bad cholesterol," can lead to the...
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相关实验视频

Updated: May 6, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

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在心血管疾病风险预测中打破二进制.

Yichi Zhang1, Akl C Fahed2,3

  • 1Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.

NPJ cardiovascular health
|March 3, 2026
PubMed
概括

新的工具,如多基因风险评分 (PRS) 和机器学习 (ML) 算法,改善了动脉样硬化心血管疾病 (ASCVD) 风险预测. 这些先进的方法提供了连续模型,超越了简单的二进制结果,以获得更好的ASCVD风险分层.

科学领域:

  • 心血管医学 心血管医学
  • 遗传学 是一个遗传学.
  • 人工智能的人工智能

背景情况:

  • 动脉样性心血管疾病 (ASCVD) 是全球主要的死亡原因.
  • 传统的风险评估模型在精度上有局限性.
  • 最近在遗传学,奥米克和机器学习方面的进展为风险分层提供了新的途径.

研究的目的:

  • 探索多基因风险评分 (PRS) 和机器学习 (ML) 算法在增强ASCVD风险分层中的作用.
  • 讨论从二进制风险预测到连续模型的转变.
  • 强调需要解决PRS实施中的差异.

主要方法:

  • 从基因组数据中获得的多基因风险评分 (PRS) 的整合.
  • 复合机器学习 (ML) 算法的应用.
  • 开发基于连续性的风险模型.

主要成果:

  • 多基因风险评分 (PRS) 和ML算法提供了更全面的ASCVD风险分层.
  • 这些工具促进了向连续模型的转变,提供了细微的风险评估.
  • 该研究确定了解决PRS内部社会经济和种族差异的必要性.

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In Silico Clinical Trials for Cardiovascular Disease
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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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相关实验视频

Last Updated: May 6, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

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结论:

  • 多基因风险评分 (PRS) 和机器学习 (ML) 代表了ASCVD风险分层的范式转变.
  • 源自这些技术的连续模型提供优越的风险评估与二进制预测相比.
  • 公平实施PRS对于减轻心血管疾病现有的健康差异至关重要.