Anemia

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 capital" - the finite cognitive resources available to clinicians - and stabilizing the "diagnostic apex," the point where histological evidence meets clinical judgment. METHODS: Using cognitive load theory (CLT) and implementation science, we develope...

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 five sleep stages. This oversimplifies sleep stage continuity and fragmented sleep, typical in sleep-disordered breathing (SDB). Deep learning offers more dynamic sleep modelling with a higher temporal resolution by providing probabilities for each s...

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...

Ophiopogon japonicus alleviates pulmonary fibrosis through modulation of HIF1A/TUBB3 axis-associated M2 macrophage polarization and arginine metabolic alterations.

ETHNOPHARMACOLOGICAL RELEVANCE: Ophiopogon japonicus (Thunb.) Ker Gawl. is a traditional Chinese medicinal herb commonly used to "nourish yin and mois...

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...

Transcriptomic analysis identifies novel ferroptosis-related biomarkers and therapeutic targets in pulmonary arterial hypertension.

BACKGROUND: Ferroptosis plays a significant role in pulmonary arterial hypertension (PAH), although its underlying mechanisms and key pathogenic genes...

Advancing high-altitude medicine: a model for the future.

With rising global high-altitude travel, occupational exposure, and permanent habitation, the health burden of high-altitude-specific diseases and hig...

Transforming hemodialysis care: a tripartite collaboration model among medical staff, AI agents, and robots.

Hemodialysis demand is rising as populations age and the chronic kidney disease burden increases, yet dialysis units face persistent workforce constra...

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...

Age-stratified risk profiles for emergency colorectal cancer resection: A machine-learning analysis.

BACKGROUND: Emergency colorectal cancer resection (ECCR) is associated with worse perioperative and oncologic outcomes than elective surgery. As the i...

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...

How work hours affect well-being: A target trial emulation.

Studies link longer work hours to multiple dimensions of well-being, but correlations do not show what would happen if hours changed. Target-trial emu...

Smash landing in elite male badminton players: Effects of fatigue and task predictability via explainable machine-learning analysis.

Smash landings in badminton carry high injury risk, worsened by fatigue. Assess how fatigue and task predictability shape lower-limb biomechanics in e...