Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
MRI brain scans alone are not a definitive measure of dementia. Deep-learning algorithms (DLA) and professional human opinion are necessary for diagnosis. Yet, sample sizes are prohibitively large to train a typical DLA, which itself takes considerable computation time to produce diagnostically useful information from contrasting image features. We introduce analytic simplifications to this proces...
The objective of this study was to compare twenty-six polysomnography (PSG) parameters between the groups utilizing automatic scoring (AS) software and manual scoring (MS) technique. Two MS groups, each comprising technicians with sleep scoring experience ranging from 5 to 8 years, were established. One group consisted of three technicians while the other included four technicians. PSG record of t...
Stochastic gradient descent (SGD) performed in an asynchronous manner plays a crucial role in training large-scale machine learning models. However, t...
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Recent studies have identified intercellular networks for material exchange by bridge-like nanotubular structures, yet their existence in neurons rema...
BACKGROUND: Alzheimer's disease (AD) is a severe neurodegenerative disorder, yet its molecular mechanisms remain incompletely understood. It is known ...
BACKGROUND: At present, the world is in the background of severe aging population challenges. Mild cognitive impairment (MCI), an intermediate state b...
Age-related macular degeneration (AMD) is a multifactorial retinal disease influenced by complex molecular mechanisms, including genetic susceptibilit...
OBJECTIVE: Cortical regions such as parietal area H (PH) and the fundus of the superior temporal sulcus (FST) are involved in higher visual function a...
Alzheimer's disease (AD), the most common form of dementia, is marked by cognitive decline and amyloid-beta (Aβ) plaque deposition in the brain. Micro...
INTRODUCTION: In 2024, 11 European scientific societies/organizations and one patient advocacy association have defined a patient-centered biomarker-b...
Diagnosing Alzheimer's disease based on gene expression data extracted from microarrays is still an open field of research. Due to the availability of...
The recent approval of anti-amyloid pharmaceuticals for the treatment of Alzheimer's disease (AD) has created a pressing need for the ability to accur...
Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and intracellular hyperphosphorylated tau pathology is as...
Alzheimer's disease (AD) is a neurodegenerative disorder that affects memory and cognitive functions. Manual diagnosis is prone to human error, often ...
BACKGROUND: The study aimed to explore the applicability of plasma phosphorylated tau (p-tau)217 in identifying patients with subjective cognitive dec...
Dementia represents a global public health concern, with the early detection of Alzheimer's disease, the most prevalent form of dementia, being of par...
Fine particulate matter (PM) is recognized as one of the most harmful environmental pollutants to human health. Current research indicates that PM exh...
Shrimp oil is rich in polyunsaturated fatty acids and astaxanthin, which possesses high antioxidant activity. This study aimed to investigate the impa...
Timely intervention for Alzheimer's disease (AD) requires early detection. The development of immunotherapies targeting amyloid-beta and tau underscor...