Projects and priorities in cardiovascular modeling
Journal of the American College of Cardiology, 1989 Studies that either 1) model the likelihood of clinical outcomes as a function of patient characteristics, or 2) examine the factors underlying a specific medical decision are discussed. Although the currently available models represent important contributions, the working group that met during the 1987 Regenstrief Conference identified several ...
Harry P. Selker, Mark A. Hlatky
openaire +3 more sources
Gene Therapy for Cardiovascular Disease [PDF]
, 2003 The last decade has seen substantial advances in the development of gene therapy strategies and vector technology for the treatment of a diverse number of diseases, with a view to translating the successes observed in animal models into the clinic ...
Baker, Andrew H. +3 more
core +4 more sources
An ensemble solver for segregated cardiovascular FSI [PDF]
arXiv, 2021 Computational models are increasingly used for diagnosis and treatment of cardiovascular disease. To provide a quantitative hemodynamic understanding that can be effectively used in the clinic, it is crucial to quantify the variability in the outputs from these models due to multiple sources of uncertainty.
arxiv
Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium. [PDF]
, 2019 BACKGROUND: The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear.
Alver, M. (Maris) +86 more
core +10 more sources
Study on the effectiveness of AutoML in detecting cardiovascular disease [PDF]
arXiv, 2023 Cardiovascular diseases are widespread among patients with chronic noncommunicable diseases and are one of the leading causes of death, including in the working age. The article presents the relevance of the development and application of patient-oriented systems, in which machine learning (ML) is a promising technology that allows predicting ...
arxiv
The cardiovascular safety of incretin-based therapies: a review of the evidence [PDF]
, 2013 Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in people with diabetes and therefore managing cardiovascular (CV) risk is a critical component of diabetes care. As incretin-based therapies are effective recent additions to the
Petrie, J.R.
core +2 more sources
The effect of adherence to statin therapy on cardiovascular mortality : quantification of unmeasured bias using falsification end-points [PDF]
, 2016 Background: To determine the clinical effectiveness of statins on cardiovascular mortality in practice, observational studies are needed. Control for confounding is essential in any observational study. Falsification end-points may be useful to determine
Bijlsma, Maarten J +3 more
core +5 more sources
Human Cell Modeling for Cardiovascular Diseases [PDF]
International Journal of Molecular Sciences, 2020 The availability of appropriate and reliable in vitro cell models recapitulating human cardiovascular diseases has been the aim of numerous researchers, in order to retrace pathologic phenotypes, elucidate molecular mechanisms, and discover therapies using simple and reproducible techniques.
Lippi M. +3 more
openaire +3 more sources
Mechanical modeling of the maturation process for tissue-engineered implants: application to biohybrid heart valves [PDF]
, 2023 The development of tissue-engineered cardiovascular implants can improve the lives of large segments of our society who suffer from cardiovascular diseases. Regenerative tissues are fabricated using a process called tissue maturation. Furthermore, it is highly challenging to produce cardiovascular regenerative implants with sufficient mechanical ...
arxiv +1 more source
Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry. [PDF]
, 2020 Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events. To date, no method exists for the identification of individuals at risk of RPP at a single point in time.
Al'Aref, Subhi J +35 more
core