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Emerging biomarkers for the detection of cardiovascular diseases

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TLDR
In this paper , a literature review was written using a wide range of sources, such as well-known medical journals, electronic databases, manuscripts, texts, and other writings from the university library.
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This article is published in The Egyptian Heart Journal.The article was published on 2022-10-20 and is currently open access. It has received 5 citations till now. The article focuses on the topics: Medicine & Medicine.

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Therapeutic Potential of EVs: Targeting Cardiovascular Diseases

TL;DR: In this article , the authors discuss the up-to-date knowledge regarding the biophysical properties and biological components of extracellular vesicles, focusing on myocardial infarction, diabetic cardiomyopathy, and sepsis-induced cardiocyopathy, three very different types of CVDs.
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Peptides as "better biomarkers"? Value, challenges, and potential solutions to facilitate implementation.

TL;DR: A review article as mentioned in this paper provides an update on the recently published literature that reports on investigating native peptides in body fluids using mass spectrometry-based platforms, specifically those studies that focus on the application of peptides as biomarkers to improve clinical management.
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Artificial intelligence for secondary prevention of myocardial infarction: A qualitative study of patient and health professional perspectives

TL;DR: In this article , the authors explored the opinions of people with a history of myocardial infarction (PHMI) and health professionals on the use of AI for secondary prevention of MI.
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Ameliorative effect of quercetin on pancreatic damage in rodent: a meta-analysis

TL;DR: In this paper , the authors evaluated the potential effect of quercetin to treat pancreatitis and found that the querceto-blocker was able to significantly increase the production of tissue insulin, restore the antioxidant defense system, and inhibit the progression of inflammation based on the expression of NF-kB, TNFα and IL−6 genes.
Posted ContentDOI

Deep and Transfer Learning based methods for Left Ventricle segmentation from cardiac MRI images to identify cardiovascular ailments

TL;DR: In this paper , three methods are deployed for the segmentation of LV images namely CNN based U-Net Model, VGG 16 and ResNet 152, and the proposed algorithms are compared using standard performance metrics to assess the output and viability of projected techniques as discussed in the result section.
References
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Myeloperoxidase: friend and foe

TL;DR: It is concluded that the MPO system plays an important role in the microbicidal activity of phagocytes and the role of theMPO system in tissue injury.
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Alirocumab and cardiovascular outcomes after acute coronary syndrome

TL;DR: Among patients who had a previous acute coronary syndrome and who were receiving high-intensity statin therapy, the risk of recurrent ischemic cardiovascular events was lower among those who received alirocumab than amongThose who received placebo.
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Requirement for neuregulin receptor erbB2 in neural and cardiac development

TL;DR: The results demonstrate the importance of erbB2 in neural and cardiac development and find that mutant embryos die before Ell, probably as a result of dysfunctions associated with a lack of cardiac trabeculae.
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Retinol-Binding Protein 4 and Insulin Resistance in Lean, Obese, and Diabetic Subjects

TL;DR: RBP4 is an adipocyte-secreted molecule that is elevated in the serum before the development of frank diabetes and appears to identify insulin resistance and associated cardiovascular risk factors in subjects with varied clinical presentations, providing a rationale for antidiabetic therapies aimed at lowering serum RBP4 levels.
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