Fibromyalgia

MXene-Based Piezoelectric and Triboelectric Energy Harvesters for Personalized Monitoring and Therapeutics.

MXenes, a rapidly expanding family of two-dimensional transition-metal carbides and nitrides, have emerged as a key material of self-powered wearable electronics and therapeutics owing to their metallic conductivity, mechanical flexibility, and highly tunable surface chemistry. Their integration into piezoelectric nanogenerators and triboelectric nanogenerators (PENGs and TENGs) has substantially ...

Development and validation of an interpretable model for pre-chemotherapy triage of fatigue-pain-sleep disturbance burden in lung cancer.

PURPOSE: The aim of the study is to develop an interpretable machine learning model that can effectively identify patients at risk of high fatigue-pain-sleep disturbance (FPS) burden before chemotherapy. METHODS: A two-centre observational study was conducted in two tertiary hospitals. Candidate predictors were assessed approximately two weeks before chemotherapy initiation, whereas fatigue, pain,...

Sweat-based electrochemical wearable biosensors for sports performance and fatigue monitoring: from laboratory prototypes to field deployment.

Wearable biosensing technologies are advancing sports performance monitoring by enabling the continuous and real-time measurement of physiological and...

Mechanical and flexural fatigue behaviour of steel fibre reinforced RAP-based concrete: experimental and machine learning investigation.

This study examines the mechanical and flexural fatigue behaviour of concrete with reclaimed asphalt pavement (RAP) aggregates with and without steel ...

The effect of growth hormone-releasing hormone on cognition and brain connectivity in adults with cognition ranging from normal to mild cognitive impairment.

Cognitive decline with age and other clinical conditions are linked with reduced hypothalamic-pituitary-adrenal (HPA) axis function. Stimulating the H...

A comprehensive review of biomechanical factors influencing pedicle screw fixation strength and the critical role of artificial intelligence.

BACKGROUND: Pedicle screws are pivotal in spinal fixation procedures, providing stability and facilitating the correction of spinal deformities. Sever...

Artificial intelligence literacy in fibromyalgia: The inverse gap between informed patients and unprepared clinicians.

Artificial intelligence in pathology: a framework for preserving brain capital in the diagnostic apex.

AIM: To present a five-criterion calibration framework for evaluating artificial intelligence (AI) tools in pathology centered on preserving "brain ca...

Hypnodensity sleep metrics from fingertip photoplethysmography are better associated with daytime sleepiness and fatigue than traditional metrics from polysomnography.

BACKGROUND: Traditional sleep metrics from polysomnography are often limited by the hypnogram, in which each 30-s epoch is classified into one of the ...

An Ultrasoft Initiator-Free Eutectogel for Strain Sensing and Gesture Recognition Assisted by Machine Learning.

With the rapid development of Internet of Things and artificial intelligence technologies, flexible wearable sensors have shown great potential in hum...

FSCL-BC: Federated supervised contrastive learning for breast cancer diagnosis with high sensitivity.

BACKGROUND AND OBJECTIVE: Accurate diagnosis of breast cancer in dense breasts requires expert radiologists to examine multiple ultrasound images per ...

High-throughput analysis of multimodal monitoring data: the role of machine learning in early warning systems for high-risk neonates.

The neonatal intensive care unit (NICU) generates vast amounts of high-throughput, multimodal monitoring data, offering unprecedented potential for id...

Benchmarking large language models for cell-free RNA diagnostic biomarker discovery.

Large language models can synthesize biomedical knowledge, parse vast amounts of data, and generate code, positioning them as promising tools for biom...

Dynamic driver drowsiness detection with attention enhanced convolutional neural networks for real time monitoring and road safety applications.

Driver fatigue remains a major contributor to traffic accidents worldwide, underscoring the need for accurate and timely drowsiness detection systems....

Tribological performance of Al5052/B₄C/Granite hybrid composites: machine learning prediction and multi-response optimization.

This study investigates the sustainable wear performance of Al5052/B₄C/granite hybrid composites produced by the stir casting process. Wear tests were...

Feasibility of mechanomyography-based fatigue classification for passive lower-limb exoskeleton evaluation: A pilot study.

Mechanomyography (MMG) enables non-invasive monitoring of muscle mechanical activity, while its utility in time-resolved fatigue detection during dyna...

Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteries.

Lithium-ion battery degradation prediction traditionally requires chemistry-specific laboratory calibration, limiting scalability across diverse opera...

A Multifunctional Eutectogel for Wide-Temperature and Intelligent Speech Recognition.

The practical application of flexible sensors is often constrained by limited mechanical properties and a narrow operating temperature range, particul...

Distinct mental fatigue mechanisms under prolonged work and night shifts Implications for safety management in a real-world oil drilling site.

OBJECTIVE: This study aimed to investigate how shift work and prolonged working hours affect mental fatigue under real-world working conditions, focus...

Machine Learning and AI Applied to fNIRS Data Reveals Novel Brain Activity Biomarkers in Stable Subclinical Multiple Sclerosis.

People with Multiple Sclerosis (MS) complain of problems with hand dexterity and cognitive fatigue. However, in many cases, impairments are subtle and...