Results 101 to 110 of about 167,038 (225)
Despite the remarkable potential of moringa, we also identify significant challenges in product development, such as sensory perception issues, ingredient stability, and financial constraints. Given the increasing global demand for plant‐based, sustainable, and health‐conscious meals, we emphasize the need for continued innovation in moringa‐based food
Muhammad Tayyab Arshad+3 more
wiley +1 more source
Comorbid anxiety disorders and quality of life in patients with an artificial cardiac pacemaker
Aim. To investigate correlations between anxiety disorders, quality of life (QoL)and patient's age, mode, duration and course of cardiac pacing(CP). Material and methods.
Bakhram Guseynovich Iskenderov+7 more
doaj
Electrocardiographic parameter profiles for differentiating hypertrophic cardiomyopathy stages
Our findings revealed that ST‐T segment parameters were especially significant for diagnosing HCM, with similar weight across the basal and apical subtypes. In contrast, QRS complex parameters were more pertinent for diagnosing dHCM, suggesting a shift in diagnostic emphasis as the disease progresses.
Naomi Hirota+13 more
wiley +1 more source
Arrhythmogenic Cardiomyopathy (ACM) is a life-threatening, genetically determined disease primarily caused by mutations in desmosomal genes, such as PKP2.
Angela Serena Maione+15 more
doaj +1 more source
Applications, challenges and future directions of artificial intelligence in cardio‐oncology
Abstract Background The management of cardiotoxicity related to cancer therapies has emerged as a significant clinical challenge, prompting the rapid growth of cardio‐oncology. As cancer treatments become more complex, there is an increasing need to enhance diagnostic and therapeutic strategies for managing their cardiovascular side effects.
Francesco Ravera+3 more
wiley +1 more source
Deep learning for electrocardiogram interpretation: Bench to bedside
Schematic overview of applications of DL‐enabled ECG analysis and the barriers to implementation of DL tools to clinical practice. Abstract Background Recent advancements in deep learning (DL), a subset of artificial intelligence, have shown the potential to automate and improve disease recognition, phenotyping and prediction of disease onset and ...
Bas B. S. Schots+6 more
wiley +1 more source
P4856Prospective study of thromboembolic events after reoperation in permanent artificial cardiac pacing [PDF]
Caio Marcos de Moraes Albertini+4 more
openaire +1 more source
Abstract Cheyne–Stokes respiration (CSR), a rhythmic rise and fall in ventilation often experienced by patients with heart failure during sleep, is typically accompanied by an oscillation in heart rate (HR) at the same frequency. The mechanisms responsible for this oscillation are still debated.
Gian Domenico Pinna+3 more
wiley +1 more source
Abstract This study compared acute changes in measures of arterial stiffness (AS) between two resistance training (RT) protocols that were load, volume and rest matched, but differed in intensity of effort. Eleven healthy adults (36.4 ± 6.8 years) performed a RT protocol with high intensity of effort (HE) and a RT protocol with low intensity of effort (
Eleftherios Karanasios+3 more
wiley +1 more source