Latest AI and machine learning research in geriatrics for healthcare professionals.
Alzheimer’s disease (AD) is a progressive and debilitating neurodegenerative disease of the central ...
Alzheimer’s disease (AD) is a major global health concern, expected to affect 12.7 million Americans...
Side effects caused by drug combinations pose a major challenge in healthcare. Knowledge of these si...
Epigenetic clocks are widely used to estimate biological aging, yet most are built from array-based ...
Single-omics approaches often provide a limited perspective on complex biological systems, whereas m...
Accurate phylogenetic inference is crucial for understanding evolutionary relationships among specie...
This study critically reevaluates the utility of brain-age models within the context of detecting ne...
The pied tamarin (Saguinus bicolor) is a critically endangered primate with a small geographic range...
Alterations in metabolism, stress response, sleep, circadian rhythms, and neuroendocrine processes a...
Predicting symptom onset in genetic frontotemporal dementia (FTD) is crucial for advancing targeted ...
Inferring chronological age from magnetic resonance imaging (MRI) brain data has become a valuable t...
Olfactory dysfunction is a frequent yet understudied feature of neurodegenerative spectrum disorders...
Joint pain is an increasing concern for our aging population, as current therapies to slow joint dis...
Systemic chronic inflammation is a major determinant of aging and disease risk, yet current biomarke...
Extrachromosomal circular DNA (eccDNA) is a covalently closed circular DNA molecule that plays an im...
The emergence of large-scale biobanks has opened unprecedented opportunities for the development of ...
The Master Athletic Laboratory Study of Intramuscular Connective Tissue (MALICoT, DRKS00015764) set ...
Digital language markers show promise in detecting early cognitive impairment related to Alzheimer’s...
To construct and validate a deep-learning (DL) model for the automatic quantification of temporalis ...
Rare disease variant interpretation requires navigating multiple genomic databases with strict input...
Spiking Neural Networks (SNNs) have the potential to replicate the brain’s computational efficacy by...