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A SHAP-based machine learning approach to decoding the relationship between running posture features and tibial load in novice runners with MTSS: towards accurate and intelligent rehabilitation strategies.

BACKGROUND: This study systematically investigates the relationship between running posture and tibial load in novice runners using machine learning methods from the field of artificial intelligence. The aim is to provide scientific evidence for the precise prevention and personalized rehabilitation of Medial Tibial Stress Syndrome (MTSS). METHODS: A total of 174 novice runners diagnosed with MTSS...

Enhanced geometry control powered by AI for UAVS with a robotic arm for compensating for disturbances.

Unmanned Aerial Vehicles (UAVs) equipped with robotic manipulators have emerged as a powerful paradigm for advanced aerial manipulation tasks, including infrastructure inspection, emergency response, and precise object handling in hazardous or inaccessible environments. Despite their potential, integrating robotic arms introduces significant challenges due to strong dynamic coupling, time-varying ...

TDD-YOLO: A novel model for precise detection of tomato diseases.

Tomato diseases pose a significant threat to global agricultural production, often leading to substantial yield loss and major economic damage. Tradit...

The role of AI-mediated metacognitive interventions in EFL writing development: A cross-sectional study of textual accuracy, lexical sophistication, and cohesion.

This paper examines the role of generative AI support in enhancing the quality of English-as-a-foreign-language (EFL) writing in Chinese higher educat...

Random Forest Model for the Prediction of Herbal-Induced Liver Injury: Application to Molecules from the West African Pharmacopoeia.

Herbal medicines play a crucial role in primary healthcare across West Africa, yet their potential for liver toxicity remains poorly documented. Predi...

Aligning AI-Native 6G Healthcare Systems with EU Ethical and Legal Frameworks.

The convergence of AI, robotics, and 6G networks is reshaping healthcare through real-time This paper applies a structured regulatory-technical analys...

THERA-IE: An AI-Enabled System for Therapeutic Indication Identification and Extraction from Biomedical Literature.

Drug-indication knowledge underpins evidence-based prescribing but remains challenging to maintain manually. Existing resources incompletely represent...

Evaluating the feasibility of a scalable, digitally supported model for global collaborative surgical research: protocol for a prospective, international, multicentre observational study in cryptoglandular anal fistula treatment (CRAFT).

INTRODUCTION: Management of cryptoglandular anal fistula is characterised by wide variation in diagnostic strategies, surgical techniques and outcome ...

Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation.

Dysphagia presents a serious risk of aspiration that requires continuous monitoring. This study introduces standardized 2 s voice segments for aspirat...

Energy-efficient, real-time detection of railway fastening systems from drone-based imagery using spiking neural networks.

Rail fastener defects threaten track integrity and operational safety, making reliable automated inspection essential. This study develops an energy-e...

Improving pear fruit quality without yield loss through 3D point cloud-based estimation of reasonable fruit load.

Fruit quality is a critical determinant of economic returns in pear production, and maintaining an appropriate fruit load (FL) is essential for achiev...

Automated blood group classification using a digital microfluidics chip and vision transformer-based image analysis.

Identifying blood groups accurately is critical for safe medical practices, especially in emergencies, surgeries, and prenatal care. Conventional meth...

Targeting tumor-associated G-protein coupled receptors: beyond single-axis inhibition toward multidimensional regulation.

G protein-coupled receptors (GPCRs) serve as central hubs in tumor signal transduction and microenvironment regulation. However, their therapeutic exp...

Intelligent monitoring technologies for food fermentation processes: transformation from traditional experience to multimodal approaches and challenges.

Fermentation is a key process in food manufacturing that determines product quality, safety, and nutrition. Traditional offline and manual monitoring ...

Integrative interpretable learning reveals shared patterns of epitranscriptomic regulation across multiple cancer types.

BACKGROUND: Cancer is a complex set of diseases caused by the dysregulation of cell proliferation, differentiation, and apoptosis, ultimately leading ...

Deep learning Algorithm for Wound assessment after total kNee (DAWN) arthroplasty : a prospective study protocol.

AIMS: This study aims to develop and internally validate an AI approach based on a deep learning (DL) algorithm to classify wound photographs as eithe...

Intelligent audit decision support for enterprise related-party transactions based on knowledge graph and graph neural network.

Related-party transactions (RPTs) occupy a central position in contemporary corporate governance, serving as essential channels for resource allocatio...

HELIX: a scalable model for predicting context-dependent regulation of RNA splicing and isoform usage.

Context-dependent alternative splicing plays a critical role in disease pathogenesis and organ development, but its complex regulation remains challen...

Heterogeneous biological graph convolutional network for drug-target interaction prediction.

Drug-target interaction prediction plays a critical role in drug discovery by identifying potential therapeutic targets and elucidating underlying mol...

Precision detection of miniature dam cracks with a multi-scale enhanced YOLO framework for UAV inspection.

Accurate detection of dam cracks from Unmanned Aerial Vehicle (UAV) imagery is crucial for structural health monitoring. However, prevailing methods f...