AI Medical Compendium

Fatigue Identification Models for Firefighters Based on Electrocardiogram Signals.

Journal of occupational and environmental medicine Mar 25, 2026

OBJECTIVE: To identify physiological indicators and develop effective models for recognizing training-induced physical fatigue in firefighters. METHODS: Heart rate variability was analyzed in eighteen firefighters before and after physical training. ... read more

Explainable drug side effect prediction in central neural system via biologically informed graph neural network.

Translational psychiatry Mar 25, 2026

The early detection of potential side effects (SEs) is a critical yet formidable challenge within the realms of drug development and patient healthcare management. Conventional in-vitro or in-vivo approaches for SE detection are often not feasible to... read more

Multi-omics integration reveals ANXA6-high γδ T cell-endothelial communication as a potential link between periodontitis and MASLD.

NPJ systems biology and applications Mar 25, 2026

Periodontitis (PD) and metabolic dysfunction-associated steatotic liver disease (MASLD) were highly prevalent inflammatory disorders that frequently coexisted, yet the molecular basis of their comorbidity remained poorly defined. Here, we applied an ... read more

Bidirectional state space modeling for lightweight and robust wheat head detection in complex agricultural environments.

Scientific reports Mar 25, 2026

Predicting the degree of trait emotional empathy from cortical features using surface-based morphometry.

Scientific reports Mar 25, 2026

Transcriptomic advances in studies of muscle stem cell aging: From bulk to single-cell and beyond.

Cell research Mar 25, 2026

Advances in transcriptomic technologies have progressively transformed the questions we can ask and answer about muscle stem cells (MuSCs) during aging. Early microarray and bulk RNA sequencing studies established foundational population-level signat... read more

Enriched resting-state EEG prediction of cognitive decline in prodromal Alzheimer's disease: a machine-learning approach.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Mar 25, 2026

OBJECTIVE: We evaluated the accuracy of standard machine learning (ML) algorithms in predicting 1-year cognitive decline in Alzheimer's disease patients with mild cognitive impairment (ADMCI) using resting-state electroencephalographic (rsEEG) biomar... read more

Perfusion-derived cerebral CT angiography with artificial intelligence iterative reconstruction as a replacement for routine cerebral CT angiography in acute ischemic stroke.

European journal of radiology Mar 25, 2026

OBJECTIVES: To investigate the feasibility of replacing routine cerebral CT angiography (CTA) with CT perfusion (CTP)-derived cerebral CTA by using artificial intelligence iterative reconstruction (AIIR) for acute ischemic stroke (AIS) patients. METH... read more

Associations of epigenetic age acceleration with motor impairment: Evidence from the Parkinson's Progression Markers Initiative cohort.

Neurobiology of aging Mar 25, 2026

Motor decline is a hallmark of Parkinson's disease (PD) and biological aging, yet the specific relationship between systemic biological aging and neuromotor function remains under-characterized. This study leveraged longitudinal phenotypic and whole-... read more

Entropy-weighted fuzzy integration of sparse gaussian graphical models in multiple organ metabolomics.

Computational biology and chemistry Mar 25, 2026

Inferring conditional dependency structures from high-dimensional data with small sample sizes remains a fundamental challenge in systems biology, particularly when dependencies span multiple biological compartments. We present QFL, a multilayer netw... read more

Artificial Intelligence Medical Compendium