Latest AI and machine learning research in exercise & fitness for healthcare professionals.
BACKGROUND: Aerobic glycolysis promotes lactate accumulation and histone lactylation (Kla), yet the cell-type-specific distribution of this axis and its link to metabolically stratified intercellular signalling in asthma remain poorly defined. We aimed to map lactate/Kla-associated metabolic states across airway lineages and develop an interpretable Lactate Metabolic Biomarker Diagnosis (LMBD) fra...
Flexible and stretchable strain sensors have attracted growing interest for applications in health monitoring and human-machine interfaces. Conventional crack-based resistive strain sensors can achieve high sensitivity and large strain ranges by exploiting the opening and closing of randomly distributed microcracks. However, the uncontrolled evolution of these cracks during prolonged use often lea...
This article highlights some important nephrology studies published in 2025 that are relevant for many nonnephrologist physicians. Two studies examine...
OBJECTIVE: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, underscoring the need for tools to st...
Generative artificial intelligence (GenAI) has brought significant while unpredictable changes to the learning motivation of students from various maj...
The aims of the present study were to develop and validate a predictive model for lower limb Varicose Veins, and to visualize the results using a web ...
OBJECTIVE: Generative artificial intelligence (AI) is rapidly transforming the field of neuropsychology by offering innovative opportunities to enhanc...
BACKGROUND: Implant-based reconstruction failure remains a significant complication following breast reconstruction, with substantial implications for...
OBJECTIVE: To determine the added value of post-hoc convolutional neural network (CNN)-based denoising for low-radiation coronary CT angiography (CCTA...
The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...
In this review we provide a brief description of recently published articles addressing topics relevant to pediatric cardiologists. Our hope is to pro...
The rapid diffusion of AI in China has proceeded to an uneven pace across cities. In this study we develop a motivation-resistance framework to help s...
Personalized treatment in psoriatic arthritis (PsA) remains challenging, particularly in guiding dose escalation decisions. We applied a causal machin...
OBJECTIVES: Wearable devices such as smartwatches are increasingly used for physical activity monitoring, but their proprietary algorithms often lack ...
BACKGROUND AND PURPOSE: Ischemic stroke remains a leading cause of long-term disability and persistent motor deficits. While neuroplasticity drives po...
Artificial intelligence painting tools (AIPT) are increasingly integrated into creative practices, yet designers' willingness to adopt them remains un...
BACKGROUND: Healthcare organisations are facing major challenges, including workforce shortages, rising costs, and an aging population. Research engag...
OBJECTIVES: To predict siesta behavior using machine learning models trained on self-reported and objective data-temperature (T), activity (A), positi...
The ability to perform accurate point-of-care assessment of limb perfusion is critical for safe clinical decision-making. A formal ankle-brachial inde...
BACKGROUND: Minimizing radiation exposure during pediatric spinal deformity correction is critical due to the cumulative lifetime effects of ionizing ...