Latest AI and machine learning research in sports medicine for healthcare professionals.
Combinatorial pathway optimization is a powerful approach in metabolic engineering to improve strain performance. While machine learning (ML) has shown promise in guiding the Design-Build-Test-Learn (DBTL) cycle, most applications have been limited to small design spaces, thereby restricting the potential of predictive and exploration-exploitation strategies. In this work, we applied two DBTL cycl...
Traumatic brain injury (TBI) is a stage-dependent disorder that evolves from acute neuroinflammation, blood-brain barrier (BBB) disruption, oxidative stress, excitotoxicity, and apoptosis to subacute neurovascular remodeling and chronic impairment of neuroregeneration and circuit repair. Current clinical management improves survival by stabilizing physiological status and limiting secondary injury...
Atrial fibrillation (AF) is the most prevalent sustained arrhythmia worldwide. Acute myocardial infarction (AMI) is closely intertwined with AF throug...
BACKGROUND: Musculoskeletal conditions are a leading global cause of disability, yet the factors influencing long-term musculoskeletal health, particu...
Motion artefacts remain a major barrier to reliable wearable sleep behavior analysis in real-world environments. Although recent advances in flexible ...
Social behavior varies considerably across mammalian species, yet the neural basis for these variations remains unclear. We compared the behavior of t...
AIMS: Global longitudinal strain (GLS) is a sensitive measure of left ventricular (LV) function, though hampered by significant variability. Data on h...
BackgroundWork-related musculoskeletal disorders remain a major source of disability and productivity loss across healthcare and rehabilitation workfo...
Engineering the surface structure of catalysts is critical for achieving high intrinsic activity in the oxygen reduction reaction (ORR). We report a m...
BACKGROUND: Sepsis-induced myocardial injury (SIMI) is a common complication in sepsis patients with poor prognosis. Consequently, its early accurate ...
BACKGROUND: Dry eye disease (DED), a prevalent ocular condition, has seen rising incidence rates. Aberrant inflammation and immune dysregulation are k...
BACKGROUND: Nowadays, artificial intelligence Large Language Models (LLMs) are widely used by patients and physicians alike to investigate various med...
During emergency transport, clinical assessment and vital signs may lack the sensitivity to identify traumatic brain injury (TBI) and identify specifi...
With the development of artificial intelligence and deep learning technology, human pose estimation has been widely applied in fields such as medical ...
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the pathological misfolding and aggregation of α-synuclein (α-sy...
Accurate and robust intent recognition is the cornerstone of human-machine collaboration in rehabilitation, particularly for controlling Supernumerary...
PURPOSE: To explore the relationship between thyroid-associated ophthalmopathy (TAO) and liver injury and establish a model for identifying liver inju...
BACKGROUND: Acute kidney injury remains a major cause of morbidity and mortality in critically ill patients. Existing classification systems rely on s...
BACKGROUND: Cerebral Palsy (CP) is the main cause of motor disabilities in childhood, necessitating innovative approaches to rehabilitation and assist...
BACKGROUND: Early recognition of sepsis-related myocardial injury during sepsis remains difficult, partly because harmonized echocardiographic phenoty...