Results 161 to 170 of about 1,317,332 (190)

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 ...
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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., Rocha T., de Carvalho P., Henriques J., Harris M., Morais J.   +5 more
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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, Khashayar Khoshmanesh, Sara Baratchi   +2 more
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Modeling in cardiovascular biomechanics

International Journal of Engineering Science, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Soares, Joao S., Pasta, Salvatore, Vorp, David A., Moore, James E. jun.   +3 more
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Animal models in cardiovascular research

1985
Preface. 1. General Principles of Animal Selection, Preoperative Care, Preanesthesia, Chemical Restraint and Analgesia. 2. Cardiovascular Effects of the Opioids. 3. Cardiovascular Effects of the Tranquilizers. 4. Cardiovascular Effects of Other Drugs commonly Used in Cardiovascular Research. 5. General Anesthesia (Overview). 6.
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Cardiovascular Risk Prediction Models

Proceedings of the Australasian Computer Science Week Multiconference, 2019
Background: The prevention of cardiovascular disease is a public health priority as it is associated with increasing morbidity and mortality worldwide. Objective: A scoping review of the existing cardiovascular risk prediction models, to provide a basis for suggesting future research directions.
Shelda Sajeev, Anthony Maeder
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Rat Models of Cardiovascular Diseases

2009
In cardiovascular research, the rat has been the main model of choice for decades. Experimental procedures were developed to generate cardiovascular disease states in this species, such as systemic and pulmonary hypertension, cardiac hypertrophy and failure, myocardial infarction, and stroke.
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Optimization in Cardiovascular Modeling

Annual Review of Fluid Mechanics, 2014
Fluid mechanics plays a key role in the development, progression, and treatment of cardiovascular disease. Advances in imaging methods and patient-specific modeling now reveal increasingly detailed information about blood flow patterns in health and disease.
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Cardiovascular Disease Models

Creative Bioarray has long-standing experience of conducting preclinical studies in different rodent models of cardiovascular disease. We offer consultancy and preclinical models of cardiovascular disease including hypertension, arrhythmia, heart failure and atherosclerosis.
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Modeling the Cardiovascular System

2000
As seen in the previous chapters every physiological system requires a modeling approach that is unique, either on account of the experimental constraints or the biophysical characteristics. In the case of complex systems like the cardiovascular system several different models are used to look at different aspects of the system and to serve different ...
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