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Related Concept Videos

Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However, frequent irregular...
Cardiomyopathy V: Interprofessional Care01:29

Cardiomyopathy V: Interprofessional Care

Managing cardiomyopathy involves addressing underlying or precipitating causes, treating heart failure with medications, and implementing dietary changes and a balanced exercise and rest regimen.Lifestyle ModificationsCardiomyopathy patients should adopt a low-sodium diet to reduce fluid retention and manage heart failure. A personalized exercise and rest plan helps maintain physical fitness without overstraining the heart. Avoiding alcohol and tobacco is essential to prevent further damage to...
Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy, or HCM, is an autosomal dominant genetic disorder characterized by asymmetric left ventricular hypertrophy without ventricular dilation. It is more common in men and is typically diagnosed in young, athletic adults.EtiologyHCM is primarily genetic and is caused by mutations in genes encoding sarcomeric proteins. Researchers have identified over 1400 mutations across at least 11 different genes. Among these, the most frequently occurring mutations are found in the...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

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Related Experiment Video

Updated: May 12, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Personalized cardiovascular medicine: concepts and methodological considerations.

Henry Völzke1, Carsten O Schmidt, Sebastian E Baumeister

  • 1Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany. voelzke@ uni-greifswald.de

Nature Reviews. Cardiology
|March 27, 2013
PubMed
Summary

Personalized medicine optimizes cardiovascular diagnostics and treatments by tailoring them to individual patient characteristics. Key methods include in-depth patient data, standardized data quality, and advanced statistical approaches for better clinical application.

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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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Last Updated: May 12, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

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

Published on: September 26, 2018

Area of Science:

  • Cardiovascular Medicine
  • Personalized Medicine
  • Medical Data Science

Background:

  • Personalized medicine aims to tailor diagnostic and treatment strategies to individual patient characteristics.
  • Standardized data collection and quality assurance are crucial for reliable personalized medicine.
  • Current clinical practices face challenges with imprecise variable definitions, limiting data validity and applicability.

Purpose of the Study:

  • To review basic concepts and methods for personalizing cardiovascular medicine.
  • To highlight the importance of in-depth patient characterization and data standardization.
  • To discuss evolving statistical methods and their role in individualized cardiovascular care.

Main Methods:

  • Review of existing literature on personalized cardiovascular medicine.
  • Analysis of standardized data collection and quality assurance methods.
  • Examination of statistical shifts towards continuous variables, predictive modeling, and data mining.

Main Results:

  • Personalized medicine requires robust study design with in-depth participant characterization.
  • Standardization and quality assurance of clinical data are vital but often challenging in practice.
  • Statistical methods are evolving, incorporating predictive modeling and data mining for individualized decisions.

Conclusions:

  • Personalized medicine offers potential for individualizing cardiovascular diagnostics and therapeutics.
  • Emerging methods like data mining require further understanding for optimal application.
  • Predictive models show promise but need further development using large-scale datasets for maturity.