Geriatrics

Within-Day Variations in Infant Body Position Predict Caregiver Speech Input.

Infants' time spent in different body positions varies substantially within a day: lying supine on t...

A Deep Learning Algorithm for Liver Metastasis Detection at Contrast-enhanced Abdominal CT in Patients with Colorectal Cancer: A Comparative Study with Radiologists.

Purpose To evaluate the performance of a deep learning algorithm (DLA) for detecting liver metastase...

Impact of CT calibration curves on radiotherapy planning using diagnostic CT scans and a planning CT supporting DirectDensity reconstruction.

PURPOSE: DirectDensity enables tube voltage-independent, density-calibrated computed tomography (CT)...

Factors associated with job finding anxiety among senior health sciences students: the role of attitudes toward artificial intelligence.

BACKGROUND: Today, university students are experiencing increasing anxiety about finding a job after...

Performance of a complete AI radiographic suite across 258,373 X-rays from 26 countries: A worldwide evaluation.

INTRODUCTION: Radiographic imaging is the primary imaging tool for assessing the presence of an abno...

Deep learning-based synthetic brain MRI for the assessment of regional atrophy patterns in neurodegenerative diseases.

OBJECTIVES: Assessing regional brain atrophy on 3D-T1w imaging is crucial for evaluating neurodegene...

Machine learning-guided Huanglian Jiedu decoction targets STING in periodontitis-induced Alzheimer's Disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder increasingly associated with pe...

Structural signature of plasma proteins classifies the status of Alzheimer's disease.

Alzheimer's disease (AD) involves proteostasis dysregulation causing protein misfolding, but whether...

101 machine learning algorithms for predicting mortality in critically ill patients with spinal cord injury and sarcopenia: a multi-database study.

Distinguishing post-COVID from long-COVID in adults: Development and validation of a biomarker signature using targeted proteomics and machine learning in a cross-sectional observational study.

BACKGROUND: COVID-19 can have diverse clinical manifestations, ranging from asymptomatic infection t...

Replication of the Association between Retinal Aging Clock Susceptibility Genes and Retinal Age Gap in an Asian Population: The Nagahama Study.

PURPOSE: To replicate previously reported genetic associations for the retinal aging clock-quantifie...

Molecular basis of muscle wasting and emerging therapeutic strategies targeting degenerative muscle disorders.

Muscle degenerative conditions, including sarcopenia, muscular dystrophies, and trauma-induced muscl...

Resource constrained learning over wireless networks.

It is anticipated that the next generation of wireless networks will incorporate artificial intellig...

Identification of key genes modules linking brain aging signatures and COVID-19-associated cognitive impairment.

BACKGROUND: Emerging evidence indicates that SARS-CoV-2 infection is associated with aging, particul...

Early Diagnosis of Alzheimer's: Machine Learning Analysis Leveraging Structural MRI.

INTRODUCTION: Alzheimer's disease (AD) is characterized by significant brain atrophy, detectable via...

LCMS-Net: Deep Learning for Raw High Resolution Mass Spectrometry Data Applied to Forensic Cause-of-Death Screening.

Current preprocessing workflows for untargeted metabolomics using liquid chromatography-high resolut...

Right and Left Atrial Dysfunction as Independent Cardiovascular Risk Factors: A UK Biobank Study.

BACKGROUND: Atrial cardiopathy often precedes atrial fibrillation (AF) and has emerged as an indepen...

Quantum Sensing for Precision Organ Aging Assessment.

Aging proceeds heterogeneously across organs, making chronological age an inadequate measure of phys...

Applications of artificial intelligence for real-world evidence generation: a protocol for a living scoping review.

INTRODUCTION: Artificial intelligence (AI) is rapidly evolving, offering an expanding suite of capab...

From wrist data to lifespan: elucidating inflammation-driven biological aging via activity rhythms captured by wearable devices.

Systemic inflammation ("inflammaging") accelerates biological aging and drives cardiovascular, metab...

Predicting rates of cognitive and functional decline in Alzheimer's disease and mild cognitive impairment.

BACKGROUND: The global population of People Living with Dementia (PLWD) is expected to grow rapidly ...