Sports Medicine

Fern-Leaf-Inspired Multifunctional Flexible Strain Sensors for Motion Monitoring, Information Communication and Health Alert.

Flexible sensors play a crucial role in various emerging high-tech fields including electronic technology, information industry, and bioengineering. However, achieving excellent comprehensive performances through optimum structural designs remains a great challenge. Here, a facile technique is proposed to prepare high-performance flexible strain sensors based on fern-leaf-inspired hierarchical str...

Machine learning-driven optimization of metabolic balance for β-carotene production.

Balancing metabolic pathways is critical for engineering microbial platforms to efficiently and robustly synthesize value-added bioproducts. In the oleaginous yeast Yarrowia lipolytica engineered for β-carotene production, lipid synthesis supports carotenoid storage but also competes with carotenoid synthesis for cellular resources, necessitating precise regulation for optimal resource allocation....

Thigh Muscle Changes in the ACL-Deficient Knee: A 4-Year Longitudinal MRI Study of 1,207 Patients.

BACKGROUND: Anterior cruciate ligament (ACL) injuries may lead to long-term neuromuscular and structural adaptations in thigh muscles. Although quadri...

The global epidemiology of acute kidney injury: challenges and opportunities.

Acute kidney injury (AKI) is a devastating complication of acute illness that affects adults and children across multiple settings worldwide and is as...

The Influence of Sport Representation and Attitudes Toward Strength Training on Neuromuscular Performance Profiles in University Athletes: Part I Female Athletes.

McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, Nimphius, S, and Jordan, MJ. The influence of sport representation and attitudes towar...

Toward Scalable Electromyography in Oncology: A Narrative Review of Normalization Challenges and Machine Learning Innovations.

OBJECTIVES: Electromyography (EMG) is increasingly applied in oncology to monitor neuromuscular impairment, treatment toxicities, and rehabilitation o...

Effects of Robot-Assisted Upper Extremity Training on Cognitive and Physical Functions in Patients With Stroke: A Randomized Controlled Study.

OBJECTIVE: Primary aim was to investigate the effects of upper extremity robot-assisted training, applied in addition to conventional rehabilitation p...

A machine learning based framework for identifying consumer product injuries from social media data.

BACKGROUND: Safety is a critical aspect of consumer products. However, there are millions of product related injuries reported each year. Traditional ...

Acute and chronic injury of the knee articular cartilage: prevalence, injury mechanisms, MRI assessment and association with osteoarthritis.

Knee articular cartilage lesions resulting from acute or chronic injury are frequently encountered in routine clinical magnetic resonance imaging (MRI...

Retrieval-augmented ChatGPT-4o improves accuracy but reduces readability in hip arthroscopy patient education.

PURPOSE: To compare the accuracy, readability and patient-centeredness of responses generated by standard ChatGPT-4o and its retrieval-augmented 'deep...

Are we there yet? A systematic review and meta-analysis of the validity and reliability of automated markerless motion capture systems during jumping tasks.

Accurate assessment of jumping is important for sports performance and rehabilitation. While laboratory-based motion capture is considered gold-standa...

Advances in antituberculosis drug-induced liver injury: Molecular mechanisms, genetic insights, and emerging animal-free prediction models.

Approximately 10 million tuberculosis patients worldwide require drug therapies annually. However, prolonged use of tuberculocidal drugs in combinatio...

An Algorithm to Avoid Missed Bowel Injuries in Blunt Abdominal Trauma Patients.

UNLABELLED: Bowel injuries following blunt abdominal trauma (BAT) are evasive to detect clinically and with current imaging modalities. These injuries...

Regulatory mechanism of the oprM gene in colistin resistance of acinetobacter baumannii.

BACKGROUND: Colistin resistance in Acinetobacter baumannii (AB) is a serious clinical concern. This study aimed to identify resistance-related genes a...

The effect of robot-assisted training on burn rehabilitation: A systematic review and meta-analysis.

OBJECTIVE: This study aimed to systematically evaluate the efficacy of robot-assisted training (RAT) in improving the physical rehabilitation outcomes...

ERANet: Edge replacement augmentation for semi-supervised meniscus segmentation with prototype consistency alignment and conditional self-training.

The meniscus, a fibrocartilaginous structure within the knee joint, plays an essential role in joint stability and the prevention of knee osteoarthrit...

Development of multimodal AI for photobiorefineries via knowledge syntheses, transfer learning, and techno-economic analysis.

Synechococcus elongatus UTEX 2973 has emerged as a promising phototrophic chassis for next-generation biorefineries. However, the development of new c...

Biogenic amines in fermented foods: A comprehensive review from formation pathways, risk analysis, detection technologies to control measures.

Biogenic amines (BAs), typically arising from the fermentation of protein-rich food matrices or products with extended fermentation cycles, posing sig...

Deep learning framework for bronchoscopic diagnosis of burn inhalation injury.

Burn inhalation injury (BII) increases mortality and morbidity in burns patients. Accurate bronchoscopic grading, as the gold standard diagnostic moda...

Digital twins in stroke rehabilitation: a scoping review of objectives, data sources, mechanisms, outcomes, and desirable properties.

BACKGROUND: Digital Twins (DTs) have transitioned from theory to reality, with growing applications in healthcare. Data generated by technologies (e.g...