Artificial Intelligence Medical Compendium

Identifying and classifying different cattle populations as per their breed and utility holds immense practical importance in effective breeding management. For accurate identification and classification of cattle breeds, a reference panel of 10 bree... read more 

Ergonomic suitability is critical in tasks involving musculoskeletal movement. Many industries have examined best practices and assessed workers' ergonomic conditions during physical tasks. Prolonged awkward postures are a known cause of discomfort a... read more 

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with increasing prevalence among the ageing population, necessitating early and accurate diagnosis for effective disease management. In this study, we present a novel hybrid deep le... read more 

Metabolite-disease associations (MDAs) are critical for advancing precision medicine, yet existing computational methods face challenges in data sparsity, noise robustness, and feature representation. We propose GPLCL (graph prompt-enhanced contrasti... read more 

BACKGROUND: Carrots, rich in essential nutrients, play a crucial role in supporting human health. Current deep learning networks for carrot quality inspection are constrained by redundant parameters and high computational costs. To address these issu... read more 

PURPOSE: To evaluate the performance of an artificial intelligence (AI)-based decision support platform called NexoVent, which uses computer vision to automatically detect ventilator modes, parameters, and patient-ventilator asynchrony (PVA) from ven... read more 

Residual host cell proteins (HCPs) in biologic drug products can compromise safety or stability and must be carefully monitored. While traditional immunoassays remain essential, they often lack specificity or coverage. Mass spectrometry (MS) offers a... read more 

To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we developed and used a combination of multiscale simulation and experimental approaches. The influence and impact of the membrane on RAS and RAF proteins is... read more 

BACKGROUND: Multiple risk scores and biomarkers have been proposed for the prediction of atrial fibrillation (AF), but it is unknown how these compare with each other and whether they could be combined. OBJECTIVE: This study aimed to evaluate and com... read more 

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) can progress to metabolic dysfunction-associated steatohepatitis (MASH) and liver fibrosis, contributing to a heavier global health burden. Non-invasive diagnostic tools d... read more