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35 articles for “CVD”
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Review of Atorvastatin As A Potent Drug For Cardio-Vascular Disease(CVD)
Abstract: Cardiovascular disease (CVD), particularly atherosclerosis, remains the leading cause of death worldwide, significantly burdening public health, especially in Western societies. Metabolic syndrome and arrhythmic complications further exacerbate cardiovascular morbidity and mortality. Among restorative specialists, statins particularly atorvastatin have gotten to central in both the essential and auxiliary anticipation of coronary heart infection (CHD) due to their strong lipid-lowering properties and additional pleiotropic impacts. Atorvastatin, a selective HMG-CoA reductase inhibitor, not …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 8–18 Read article
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Integration of Biomarkers in III and IV CKD Patients for Evaluation of Their Predictive Value for CVD in CKD Patients
Abstract: Background: Chronic kidney disease (CKD) is presently characterized by the presence of proteinuria and/or a diagnosis of renal impairment. The worldwide significance of CKD is underscored by the fact that its prevalence and incidence have doubled over the past three decades. This paper provides an overview of the existing evidence regarding biomarkers in individuals with CVD or CKD, with a particular focus on the emerging biomarkers (i.e., eGFR, sALB, UACR, …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 3, 2025 · pp. 1–12 Read article
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Leveraging Genome-Wide Association Studies for Precision Medicine in Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) are the leading cause of death globally, with complex etiologies involving genetic, environmental, and lifestyle factors. Genome-wide association studies (GWAS) have significantly advanced the understanding of genetic underpinnings of CVDs by identifying numerous risk loci and variants associated with various cardiovascular conditions. This review explores the potential of GWAS to drive precision medicine in cardiovascular diseases by linking genetic data with clinical outcomes, providing insights into disease …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 35–39 Read article
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Multifactorial Diseases Becoming the Epigenetic Factor for the Genz
Abstract: This comprehensive paper investigates the complex interplay between multifactorial diseases, particularly obesity and cardiovascular disease (CVD), and their relationship with epigenetic mechanisms, highlighting the transgenerational implications of these interactions. The multifaceted nature of obesity and CVD, involving genetic predisposition, environmental influences, and epigenetic modifications, underscores the intricate pathways contributing to disease susceptibility and progression. Drawing upon a synthesis of diverse research findings, the paper elucidates the critical role of genetic …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 16–22 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Genomic Medicine Revolutionizes Heart Care: A New Standard of Practice
Abstract: The integration of genomic and precision medicine into cardiovascular healthcare represents a transformative advancement in addressing the global burden of cardiovascular diseases (CVDs). Precision medicine leverages genomic, proteomic, and metabolomic data to provide personalized care, optimizing treatment outcomes while minimizing adverse effects. Over the past decade, extensive research has highlighted its potential to revolutionize the management of major CVDs, including myocardial infarction, hypertension, and heart failure, which significantly contribute to …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 30–37 Read article
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HPV and Cardiovascular Risk: Unpacking a Novel Link Between Viral Infection and Heart Disease
Abstract: Human papillomavirus (HPV) is best known for its oncogenic potential, yet a growing body of evidence suggests that persistent HPV infection may also contribute to cardiovascular disease (CVD). In 2025, pooled analyses and conference reports galvanized attention by estimating that HPV‐positive individuals have ~40% higher risk of CVD and approximately double the risk of coronary artery disease (CAD) compared with HPV‐negative peers, even after adjustment for traditional risk factors. These …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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AI-Powered ECG Prediction System for Detecting Cardiovascular Disease
Abstract: The proposed AI-powered CardioSmart Analyzer, an electrocardiogram (ECG) prediction system, presents an innovative and scientifically rigorous approach to the real-time automated analysis of ECG signals for diagnosing various heart conditions. This research focused on building a predictive model to identify cardiovascular diseases (CVD) using ECG data. A dataset comprising 2,840 12-lead ECG recordings was gathered from medical facilities in Gazipur, Bangladesh, over the period from June to August 2024. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 51–85 Read article
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Experimental Analysis of Nano-carbon Doped Alumina for Industrial Applications
Abstract: The use of nano-carbon metal matrix composites can provide a solution to the enduring issue of optimal material selection and optimization for getting metal-insulator transition (MIT) behavior at a particular frequency at ambient temperature. Other substances, like two-dimensional (2D) transition metal dichalcogenides (TMD), vanadium oxide (VO2), and germanium telluride (Ge-Te), have difficult challenges in achieving effectively the MIT property at a given frequency and temperature. It is also difficult to …
Published in Journal of Polymer & Composites Read article
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Advancements In Hydrogenated Diamond-Like Carbon Thin Film Deposition & Surface Modification
Abstract: Materials synthesis and processing are pivotal in advancing technologies across domains such as electronics and biomedical applications. This review provides a detailed exploration of recent advancements in thin film deposition techniques, focusing on hydrogenated diamond-like carbon (HDLC) films and various surface modification methodologies. Beginning with an overview of HDLC films, the paper highlights their unique properties and wide-ranging applications, emphasizing their importance in modern materials science. Key sections of the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 761–777 Read article
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A Review on The effect of Polycystic Ovary Syndrome on some Hormonal and Metabolic Disturbances in Women
Abstract: Polycystic ovary syndrome (PCOS) is a common hormonal condition that affects women of reproductive age. It usually begins to appear during adolescence. The ovaries produce an abnormal amount of "androgens", which are male sex hormones that are usually found in women in small quantities. Ovarian syndrome causes hormonal imbalances, irregular menstrual cycles, increased cysts in the ovaries, in addition to hair growth all over the body, acne, and pain in …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 21–28 Read article
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High-Performance Thin Film Coatings for Corrosion Resistance in Extreme Environments
Abstract: Corrosion is a serious concern in industries such as aerospace, marine, and oil & gas, where materials are exposed to harsh environments. High-performance thin-film coatings have emerged as a critical solution to mitigate this issue, providing a protective barrier against harsh chemical and physical conditions. This review article highlights recent advancements in thin-film coatings designed to enhance corrosion resistance in such environments. The focus is on various coating materials, including …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 20–25 Read article
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A Comprehensive Review on Deposition Techniques for Functional Thin Films
Abstract: Thin films have become a critical element in the design and development of advanced functional materials because of their remarkable versatility, high efficiency, and ability to be easily integrated into a wide variety of devices. These films are used in a broad range of industries, from electronics to energy, owing to their ability to improve the performance of components by providing tailored electrical, optical, and mechanical properties. The deposition of …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Computational Analysis of Non-Newtonian Blood Flow through Bifurcated Coronary Artery: Insights into Hemodynamics and Wall Shear Stress
Abstract: This abstract presents a study on the computational fluid dynamics (CFD) simulations of blood flow through a bifurcated coronary artery using non-Newtonian fluid model. The objective of this study is to investigate the hemodynamic characteristics in Bifurcated Coronary artery. The methodology involved the utilization of ANSYS SpaceClaim software for creating a geometric model of the bifurcated coronary artery. A mesh independent study was conducted to ensure the accuracy and reliability …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 160–168 Read article
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Diversity and Sustainability: The Role of Traditional Fruit Trees in Uttarakhand Agricultural Landscape
Abstract: Uttarakhand state is characterized by a rich diversity of traditional fruit trees. Uttarakhand is largely a mountainous state, with only around 10% of its overall geographical area being plains, and more than three-quarters (78%) of its total people relying on agriculture for survival. The state's geographical features and climatic circumstances are suited for growing temperate and subtropical fruit crops. It provides a variety of agro-geoclimatic conditions that are ideal for …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 22–25 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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A Study on the Incidence and Prevalence of Cardiovascular Morbidity and Mortality in Patients Undergoing Maintenance Hemodialysis
Abstract: Cardiovascular Disease (CVD) is a major complication for patients with end-stage renal disease (ESRD) on Hemodialysis (HD), with the mortality rate from CVD being nearly 20 times higher than in the general population. As Chronic Kidney Disease (CKD) advances, patients accumulate both traditional and kidney-specific cardiovascular risk factors, such as hypertension, diabetes, fluid overload, electrolyte imbalances, and uremic toxins. These factors contribute significantly to the increased cardiovascular morbidity and mortality …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 56–66 Read article
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Coronary Vascular Disease: A General Review with Specific Reference to Etiology
Abstract: Cardiovascular disease (CVD), the foremost cause of mortality worldwide, has surged by 60% globally, reaching 20.5 million deaths in 2021 from 12.1 million in 1990, as per the latest report from the World Health Federation. While this increase is alarming on a global scale, it raises even greater concerns in countries like India where heart ailments are afflicting individuals at a younger age. The escalation of CVD among the younger …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 36–42 Read article