Publications by authors named "Y Akhtar"
In the current era, IoT-based healthcare solutions play a pivotal role in transforming the healthcare landscape by addressing key challenges and significantly enhancing the quality, accessibility, and efficiency of medical services, particularly for individuals in remote areas. This paper introduces innovative operations on fractional fuzzy sets (FFS), specifically the Hamacher sum and product, and establishes corresponding operational laws. Building upon these foundations, we propose novel aggregation operators (AoPs) leveraging Hamacher norms and rigorously analyze their properties within the FFS framework.
View Article and Find Full Text PDFThe clinical presentation and epidemiology of infective endocarditis (IE) have evolved over time. While the cornerstones of IE treatment remain antimicrobial therapy and surgery, percutaneous mechanical aspiration (PMA) has emerged as an option for carefully selected patients as a complementary modality, based on retrospective data, case series, and expert experience. In this comprehensive review, we summarize the proceedings from an inaugural summit dedicated to the discussion of PMA in the global management of IE, consisting of experts across multiple disciplines from diverse geographic regions and care environments.
View Article and Find Full Text PDFHomeostasis of tissues requires a complex balance between cell proliferation and cell death. The disruption of this balance leads to tumors. Cancer is a mortal disease that spreads all over the body, it is an irregular cell growth.
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- The study focuses on using dynamic magnetic resonance imaging (dMRI) to analyze diaphragm motion in patients with thoracic insufficiency syndrome (TIS), providing insights into the severity of respiratory disorders without exposing patients to radiation.
- The paper outlines a three-step approach to segment the left and right hemi-diaphragm from dMRI images, overcoming challenges like low resolution and motion blur by employing advanced deep learning techniques for accurate recognition and delineation.
- Results showed a mean-Hausdorff distance of approximately 3 mm for diaphragm delineation and a positional error of about 3 mm in identifying the mid-sagittal plane, validated using 100 test images of TIS patients.
Article Synopsis
- * The study highlights a link between increased hydrogen peroxide levels in blood (a marker of disease) and nanoparticle behavior, suggesting a focus on oxidative stress and inflammation in drug delivery.
- * By integrating machine learning and magnetic fields, the research enhances the control over nanoparticle movement in the cardiovascular system, potentially revolutionizing cancer treatment through personalized and effective therapies.