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7 articles for “Cardiology”
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Role of ion Regulation in Heartbeat Initiation
Abstract: The heart can beat quite 2 billion times in normal life, but the mechanism by which the guts beats is that the subject of intense research. Since the invention of pacemaker currents in 1978, several studies have shown that rhythmic changes in membrane tension (the "membrane tension clock") underlie the mechanism of automation. It's the depolarizing current activated during hyperpolarization. Therefore, when the guts cells recover, it's activated, the cell …
Published in Research and Reviews: A Journal of Medicine Read article
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Overview of Recent Advancement of Nano Stent in Pharmaceutical Application
Abstract: Interventional cardiology has witnessed remarkable progress with the evolution of nanotechnology, leading to the development of nanostents. Nanostents, characterized by their nanoscale features and innovative materials, have emerged as a cutting-edge solution for addressing the limitations associated with traditional stent technologies. This thorough analysis examines the most recent developments in the design, manufacture, and use of nanostents, emphasizing how they may completely transform vascular interventions. The first section of the …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 22–43 Read article
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Pharmacogenomics and Precision Medicine: An Evolving Analytical Clinical Tools for Future Medicine – A Narrative Review
Abstract: The term Pharmacogenomics is coined as an emerging field that exactly examines how the genetic variations influence the individual responses towards medications. This discipline in turn integrates the pharmacology as well as genomics to facilitate the personalized medicine, encouraging the healthcare providers to tailor their drug therapies based on individual patient’s genetic profile. Key applications include optimizing drug efficacy, minimizing adverse effects, and enhancing treatment outcomes across various medical fields, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 44–52 Read article
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Survey on Retinal OCT Image Preprocessing, Segmentation, and Deep Learning Based Classification
Abstract: Optical coherence tomography (OCT) is a non-invasive technique that generates high-resolution, detailed cross-sectional images of biological tissues. By utilizing low-coherence interferometry, OCT enables visualization of tissue microstructure with micron-scale resolution, making it useful in various medical fields such as ophthalmology, cardiology, and dermatology. In ophthalmology, OCT is extensively used for diagnosing and monitoring retinal diseases like macular degeneration and diabetic retinopathy, allowing doctors to assess changes in tissue morphology over …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Nanorobots: The Fight against Cholesterol
Abstract: Cardiovascular disease (CVD) rests leading reason of death globally, with atherosclerosis, the buildup of plaque in arteries, playing a central role. Current treatment strategies, including lifestyle changes and medications, often fall short in completely reversing or preventing the progression of atherosclerosis. This has spurred the exploration of innovative approaches, with nanorobotics emerging as a promising avenue for targeted plaque control and high-density lipoprotein (HDL) enhancement. This article discusses how nanorobots …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 23–32 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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AI-Enhanced Interpretation of Cardiac Troponins: Toward Predictive Precision in Myocardial Injury
Abstract: Background: Cardiac troponins (cTn) represent the gold standard biomarkers for myocardial injury detection, yet their interpretation remains challenging due to various confounding factors and clinical contexts. Artificial intelligence (AI) technologies provide remarkable possibilities to improve the interpretation of troponin levels by utilizing pattern recognition, predictive modeling, and clinical decision-making support. Objective: This review examines the current state and future potential of AI-enhanced cardiac troponin interpretation, focusing on machine learning applications, …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 3, 2025 · pp. 1–9 Read article