Results 301 to 310 of about 23,798,154 (337)
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Models in researching cardiovascular morphogenesis

Birth Defects Research Part C: Embryo Today: Reviews, 2012
AbstractSeveral types of “models” are used in modern biological and biomedical research and teaching. This article attempts to provide a brief explanation of the termini model organism, theoretic and mathematic model, three‐dimensional (3D) model, and 4D model, and an overview about the generation and the fields of applications of these types of models.
Wolfgang J, Weninger, Stefan H, Geyer
openaire   +2 more sources

Matriarchal Model for Cardiovascular Prevention

Obstetrical & Gynecological Survey, 1994
Family patterns of cardiovascular risk behavior are well documented. Significant correlation exists between spouse-spouse, parent-child, and sibling-sibling for cholesterol, high- and low-density lipoprotein, diet, physical activity, and smoking. Family/environmental influences are important in how/if risk and/or preventive behavior is learned.
R A, Wild   +3 more
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Animal Models of Cardiovascular Disease

Revista Española de Cardiología (English Edition), 2009
The use of animal models to study cardiovascular disease has made a substantial contribution to increasing our understanding of disease pathogenesis, has led to the development of diagnostic techniques, and has made it possible to verify the effectiveness of different preventative and therapeutic approaches, whether pharmacological or interventional ...
Francisco J, Chorro   +2 more
openaire   +2 more sources

Arterial Baroreflexes and Cardiovascular Modeling

Cardiovascular Engineering, 2007
Many cardiovascular models involve prediction of changes that occur when a subject is perturbed in some way, to move from one state to another. A successful, predictive model should involve at least two elements: First, the model should include some index of the intensity of the perturbation that elicits the response; effective responses should, in ...
openaire   +2 more sources

Long term cardiovascular risk models’ combination

Computer Methods and Programs in Biomedicine, 2011
The correct diagnosis of cardiovascular disease is a key factor to reduce social and economic costs. In this context, cardiovascular disease risk assessment tools are of fundamental importance. This work addresses two major drawbacks of the current cardiovascular risk score systems: reduced number of risk factors considered by each individual tool and ...
Paredes S.   +5 more
openaire   +2 more sources

Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning

arXiv.org, 2017
Traditionally, medical discoveries are made by observing associations and then designing experiments to test these hypotheses. However, observing and quantifying associations in images can be difficult because of the wide variety of features, patterns ...
R. Poplin   +7 more
semanticscholar   +1 more source

Association of the triglyceride-glucose index with all-cause and cardiovascular mortality in patients with cardiometabolic syndrome: a national cohort study

Cardiovascular Diabetology
This study aimed to evaluate the association of triglyceride-glucose (TyG) index with all-cause and cardiovascular mortality risk among patients with cardiometabolic syndrome (CMS).
Quanjun Liu   +14 more
semanticscholar   +1 more source

Bioengineered models of cardiovascular diseases

Atherosclerosis
Age-associated cardiovascular diseases (CVDs), predominantly resulting from artery-related disorders such as atherosclerosis, stand as a leading cause of morbidity and mortality among the elderly population. Consequently, there is a growing interest in the development of clinically relevant bioengineered models of CVDs.
Nadia Chandra Sekar   +2 more
openaire   +2 more sources

Modeling in cardiovascular biomechanics

International Journal of Engineering Science, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Soares, Joao S.   +3 more
openaire   +1 more source

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