Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Silicone oil is a ubiquitous presence throughout the life cycle of biopharmaceutical products, originating from manufacturing processes and primary packaging like pre-filled syringes. While its role in protein aggregation is well-studied, its impact on degradants like free fatty acids (FFAs) remains poorly understood. The only prior study on this topic concluded that silicone oil did not delay FFA...
Neuromuscular diseases (NMD), comprising over 600 different conditions, severely impact nerve and/or muscle function and lead to significant morbidity. Ultrasound is a non-invasive tool that is gaining acceptance for diagnosing NMD. In clinical practice, muscle ultrasound can be evaluated quantitatively or visually using an ordinal four-point grading score (Heckmatt score). Its current application...
Sarcopenia is common in type 2 diabetes (T2D), but whether sarcopenia-associated transcriptomic features can be detected in diabetic skeletal muscle r...
Iron is essential for normal cognitive function, and women have nearly twice the age-matched prevalence of cognitive impairment compared with men. The...
BACKGROUND: Widespread and sustained uptake of AI-based clinical decision support systems (CDSSs) in real-world health care settings is uncommon, desp...
AIMS: To develop and externally validate an artificial intelligence (AI)-driven model to predict effort intolerance (i.e., peak oxygen uptake [VOâ‚‚] <1...
BACKGROUND: Despite the effectiveness of lifestyle multidisciplinary (LMD) weight loss interventions in pediatric obesity, outcomes remain variable be...
OBJECTIVES: Sudden cardiac arrest is a leading cause of mortality in Canada (40,000 treatable deaths annually). Despite the benefits of 9-1-1 telecomm...
BACKGROUND: Overactive bladder (OAB) is a prevalent condition, particularly among women, characterized by urinary urgency, often accompanied by freque...
Cardio-oncology patients may face complex treatment regimens due to the concurrent existence of cancer and cardiovascular disease, leading to a consid...
MOTIVATION: The rapid advancement of generative artificial intelligence has enabled the high-throughput design of therapeutic antibody candidates. How...
Societies are aging rapidly in parallel with the increasingly earlier onset of serious diseases in younger populations. These and other factors are cr...
BACKGROUND: Muscle-strengthening exercise (MSE) is a critical component of adolescent health, yet its correlates remain less understood than those of ...
The ability of organisms to adapt and survive depends on the effects of genes and the environment on fitness. However, the multigenic nature of fitnes...
AIMS: To develop and validate a machine learning model incorporating continuous glucose monitoring (CGM) metrics to predict 3-month glycemic target ac...
BACKGROUND: Intraoperative blood transfusion is common in major surgery. Predicting transfusion risk may improve perioperative management, optimize bl...
Obesity in children and adolescents is rising in China and globally, with health consequences that are already evident during childhood. This Viewpoin...
MOTIVATION: The rapid advancement of spatial omics is fundamentally hindered by the resolution gap between physical capture platforms and genuine biol...
Triboelectric nanogenerators (TENGs) have rapidly evolved from mechanical energy harvesters into human-centric, self-powered sensing platforms capable...
Left atrial (LA) function has emerged as a critical determinant of cardiovascular performance and disease progression across the spectrum of pediatric...