Insulin resistance, often referred to as impaired insulin sensitivity. This clinical case focusses on a woman with insulin resistance and a long-standing and recurring history of obesity to demonstrate how diet therapy can be applied in addition to standard medication therapy.
Arturo Solís Herrera*, María del Carmen Arias Esparza and Sergey Suchkov
Published on: 31st January, 2025
Antioxidants are groups of compounds that neutralize free radicals and Reactive Oxygen Species (ROS) in the cell [1]. Antioxidant activity in food and beverages has become one of the most interesting features in the science community. These antioxidants provide protection against damage caused by free radicals played important roles in the development of many chronic diseases including cardiovascular diseases, aging, heart disease, anemia, cancer, and inflammation [2].
Cardiovascular Diseases (CVDs) remain a major global health concern, necessitating accurate and comprehensive diagnostic techniques. Traditional medical imaging modalities, such as CT angiography, PET, MRI, and ultrasound, provide crucial but limited information when used independently. Image fusion techniques integrate complementary modalities, enhance visualization, and improve diagnostic accuracy. This paper presents a theoretical study of advanced image fusion methods applied to cardiovascular imaging. We explore wavelet-based, Principal Component Analysis (PCA), and deep learning-driven fusion models, emphasizing their theoretical underpinnings, mathematical formulation, and potential clinical applications. The proposed framework enables improved coronary artery visualization, cardiac function assessment, and real-time hemodynamic analysis, offering a non-invasive and highly effective approach to cardiovascular diagnostics.MSC Codes: 68U10,94A08,92C55,65T60,62H25,68T07.
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