Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Per Porsche Consulting’s analysis, artificial intelligence (“AI”), especially generative AI, is rapidly transforming MedTech ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Morning Overview on MSN
Huge study of 65,000 students ties 16 hrs of social media a week to loneliness
A peer-reviewed study of 64,988 U.S. college students has drawn a sharp line between heavy social media use and loneliness, ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Academy of Art and Design, Yancheng Teachers University, Yancheng, China Introduction: With the acceleration of global aging, the accurate prediction of care service demand for older adults is of ...
1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Objective: This study explores the feasibility of using breathomic biomarkers analyzed by machine learning as a non-invasive diagnostic tool to differentiate between benign and malignant thoracic ...
Background This study aimed to develop and validate a hybrid model integrating clinical features, vessel wall magnetic resonance imaging (VWMRI) characteristics, and radiomic features to predict the ...
Background Tricuspid regurgitation (TR) is a common finding in heart failure (HF) and is associated with adverse outcomes.
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