Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
This study aims to investigate the accuracy of a fine-tuned deep convolutional neural network (CNN) ...
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a progressive ...
INTRODUCTION: To test the utility of the "A/T/N" system in the Chinese population, we study core Alz...
OBJECTIVES: Neuropsychological tests (NPTs) are widely used tools to evaluate cognitive functioning....
The robust use of osmolytes (i.e., polyols and sugars) in the key therapeutic regimens/formulations ...
PURPOSE: To validate our previously proposed method of quantifying amyloid-beta (Aβ) load using nons...
Predicting the functional sites of a protein from its structure, such as the binding sites of small ...
BACKGROUND: Pet robots have been employed as viable substitutes to pet therapy in nursing homes. Des...
Imbalanced classification has drawn considerable attention in the statistics and machine learning li...
Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity burden ...
Deep learning offers a powerful approach for analyzing hippocampal changes in Alzheimer's disease (A...
BACKGROUND: Due to increasing age and an increasing prevalence rate of neurocognitive disorders such...
OBJECTIVES: This paper uses deep (machine) learning techniques to develop and test how motor behavio...
BACKGROUND: The improvement of health indicators and life expectancy, especially in developed countr...
Brain aging is accompanied by patterns of functional and structural change. Alzheimer's disease (AD)...
The development of simple and accurate methods to predict mutations in proteins remains an unsolved ...
Early diagnosis and therapeutic intervention for Alzheimer's disease (AD) is currently the only viab...
Blood biomarkers for dementia have the potential to identify preclinical disease and improve partici...
This review sought to critically evaluate the use of the teleoperated humanoid robotic communication...
Pathologists can label pathologies differently, making it challenging to yield consistent assessment...
Increasing evidence shows that hypothalamic dysfunction, insulin resistance, and weight loss precede...