AIMC Topic: Humans

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AI-based HRCT quantification reveals DLCO and TLC as key determinants of ILD severity in connective tissue diseases.

RMD open
OBJECTIVE: Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients diagnosed with connective tissue diseases (CTDs). The aim of this retrospective cross-sectional study was to identify clinical r...

Development and Validation of a Predictive Model for Severe Tubular Atrophy/Interstitial Fibrosis in Patients with IgA Nephropathy: Multicenter Retrospective Study.

JMIR medical informatics
BACKGROUND: Severe tubular atrophy/interstitial fibrosis are critical pathological features associated with poor prognosis in IgA nephropathy (IgAN). The early identification of patients at high risk for severe tubular damage could guide clinical man...

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models.

eLife
Despite the current ubiquity of large language models (LLMs) across the medical domain, there is a surprising lack of studies which address their . We emphasise the importance of understanding as opposed to high-level prediction accuracies, since it...

Can weekend catch-up sleep repay the sleep debt? Balancing short-term relief with long-term risks.

Sleep & breathing = Schlaf & Atmung
BACKGROUND: Sleep insufficiency, driven by modern fast-paced lifestyles, contributes to the accumulation of "sleep debt." Many individuals attempt to compensate through weekend catch-up sleep (WCS). While WCS may temporarily relieve fatigue and enhan...

Integrating machine learning and geospatial approaches for multi-hazard vulnerability mapping: implications for environmental health and contaminant risk in fragile ecosystems.

Environmental geochemistry and health
High-altitude ecosystems face growing threats from natural hazards and human activities, intensifying socio-economic and environmental risks. The Nilgiris District, Tamil Nadu, is a hotspot where steep terrain, fragile ecosystems, climate variability...

Brain-derived 5-hydroxymethylcytosine epigenetic scores are related to Alzheimer's disease pathology and cognitive decline.

Acta neuropathologica
BACKGROUND: Cytosine modifications play critical roles in gene regulation and disease pathogenesis. Elucidating novel epigenetic contributions to Alzheimer's disease (AD) could advance diagnostic, prognostic, and therapeutic strategies. 5-hydroxymeth...

Cross-sectional and longitudinal associations between anxiety and acoustic-prosodic markers in adolescents.

Psychological medicine
BACKGROUND: Adolescence marks a critical period for the onset of anxiety disorders, yet they frequently remain undiagnosed due to barriers such as reluctance to self-disclose symptoms. Objective screening methods that bypass self-report may improve e...

GADRC: a graph-based approach for drug repositioning with deep residual networks and computational feature-guided undersampling.

Journal of computer-aided molecular design
Drug repositioning (DR) is a highly promising research strategy aimed at discovering new therapeutic indications for existing drugs. Current computational DR methods have become effective tools for uncovering drug-disease associations, yet they suffe...

TDMAR-Net: a frequency-aware tri-domain diffusion network for CT metal artifact reduction.

Physics in medicine and biology
Metal implants and other high-density objects cause significant artifacts in computed tomography (CT) images, hindering clinical diagnosis. Traditional metal artifact reduction methods often leave residual artifacts due to sinogram edges discontinuit...