Latest AI and machine learning research in geriatrics for healthcare professionals.
Understanding communication and information processing among brain regions of interest (ROIs) is h...
Aging is a major risk factor for cardiovascular disease, the leading cause of death worldwide, and n...
Human brain aging involves a variety of cellular and synaptic changes, but how these changes affect ...
7T MRI offers ultra-high resolution and improved sensitivity for iron deposition in neurodegenerativ...
Alzheimer’s disease (AD) is a leading worldwide cause of cognitive impairment, necessitating accurat...
This study presents a software pipeline that leverages LLMs to apply knowledge stored in natural lan...
A robust artificial intelligence-assisted workflow for tumor assessment in pathology requires not on...
Alzheimer’s Disease (AD), a progressive neurodegenerative condition of cognitive decline, presents f...
Alzheimer’s disease (AD) is characterized by region- and patient-specific molecular heterogeneity, w...
Drought is a major factor of yield loss in annual crops. It triggers a wide range of physiological a...
Aging clocks have emerged as the primary tools for measuring biological aging and have been develope...
Given the well-established structural and functional changes in the aging brain, it is widely assume...
Structural insights into the interaction between antibodies and antigens at the atomic level are piv...
As artificial intelligence (AI) is increasingly integrated into medical diagnostics, it is essential...
Epileptiform discharges and neuronal hyperexcitability are key pathophysiological features of Alzhei...
Identifying effector proteins of Gram-negative bacterial secretion systems is crucial for understand...
Ensuring the identity and optimal aging state of cell products is critical for the efficacy and safe...
Identifying the set of genes that regulate baseline healthy aging – aging that is not confounded by ...
Early and accurate detection of Alzheimer’s disease (AD) is vital for timely intervention and better...
We introduce a simple and interpretable model for classification of electroencephalography (EEG) sig...
Mass spectrometry (MS)-based metabolomics is a key technology for the interrogation of exogenous and...