Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Engineered or laboratory-evolved proteins often have suboptimal stability, activity or specificity. Here we applied artificial intelligence (AI)-based protein sequence design to address challenges in experimental enzyme evolution. Using the model ProteinMPNN, we redesigned three distinct botulinum neurotoxin (BoNT) proteases, generating variants with improved stability and full catalytic efficienc...
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of liver disease that is growing in prevalence. Typically asymptomatic, MASLD is often undiagnosed. Imaging studies, including non-contrast CT (NCCT) scans, can detect hepatic steatosis opportunistically, but the reporting rate is unknown. We hypothesized that incidental finding of steatosis on N...
Hyperuricemia (HUA) imposes a growing public health burden, calling for better risk stratification tools. In this cross-sectional study of 4906 Chines...
Greater lifting-specific pain-related fear has been associated with reduced lumbar spine motion during lifting, suggesting fear-driven protective move...
BACKGROUND: As large language models become increasingly integrated into clinical workflows, medical students need structured opportunities to learn h...
BACKGROUND: Predicting pain intensity in patients with low back pain (LBP) remains a complex task due to the biopsychosocial nature of pain. Pain inte...
Social behavior varies considerably across mammalian species, yet the neural basis for these variations remains unclear. We compared the behavior of t...
BACKGROUND: Cardiovascular disease (CVD) is a major concern among cancer survivors. However, the intersection of cancer and CVD has only recently gain...
BACKGROUND: Exercise-induced desaturation (EID) during the 6-minute walk test (6MWT) is an established marker of adverse outcomes in patients with chr...
BACKGROUND: The efficacy of exercise after Percutaneous Coronary Intervention (PCI) is compromised by poor long-term adherence. Although multiple infl...
BACKGROUND: Insufficient physical activity (PA) and excessive sedentary behaviour is associated with several cancers. Personalised approaches to incre...
BACKGROUND: Low serum 25-hydroxyvitamin D (25(OH)D) commonly co-exists with obesity and adverse cardiometabolic traits. However, its cross-sectional a...
As generative AI becomes a standard fixture in graduate education, the pedagogical challenge has shifted from detection to integration. This article d...
BACKGROUND: Understanding how lifestyle habits influence breast cancer survival is crucial for improving long-term outcomes and guiding individualized...
PURPOSE: The rapid advancement of artificial intelligence (AI) has brought new opportunities for embryo evaluation. The integration of AI with time-la...
Heart failure with preserved ejection fraction (HFpEF) is a clinical syndrome characterized by dyspnea caused by hemodynamic congestion, which develop...
AI has entered the wellness space through apps and wearables. These technologies can collect real-time data, infer lifestyle patterns, and dynamically...
BACKGROUND: Clinical documentation is central to evaluating medical students' clinical competence. However, traditional teacher feedback is often inef...
OBJECTIVE: Traditional lecture-based learning (LBL) is often insufficient for cultivating the practical decision-making skills required in high-stakes...
OBJECTIVE: We aimed to use machine learning (ML) models to investigate the impact of clinical, social and behavioural factors on 1-year progression fr...