Alzheimer's Disease

A Convolutional Mixer-Based Deep Learning Network for Alzheimer's Disease Classification from Structural Magnetic Resonance Imaging.

Alzheimer's disease (AD) is a neurodegenerative disorder that severely impairs cognitive function a...

Editorial: Application of machine learning in the diagnosis of dementia, volume II.

Random field image representations speed up binary discrimination of brain scans and estimate a phenotype glioblastoma cancer cell model.

MRI brain scans alone are not a definitive measure of dementia. Deep-learning algorithms (DLA) and p...

Identification of shared mechanisms between Alzheimer's disease and atherosclerosis by integrated bioinformatics analysis.

Alzheimer's disease (AD) and atherosclerosis (AS) are two interacting diseases mostly affecting aged...

A Novel Dynamic Neural Network for Heterogeneity-Aware Structural Brain Network Exploration and Alzheimer's Disease Diagnosis.

Heterogeneity is a fundamental characteristic of brain diseases, distinguished by variability not on...

When is imaging needed to assess the response to treatment in cardiac amyloidosis.

PURPOSE OF REVIEW: Cardiac amyloidosis is characterized by systolic and diastolic abnormalities due ...

Intercellular communication in the brain via dendritic nanotubular network.

Recent studies have identified intercellular networks for material exchange by bridge-like nanotubul...

Correction: Tuan, D.A. Leveraging Climate Data for Dengue Forecasting in Ba Ria Vung Tau Province, Vietnam: An Advanced Machine Learning Approach. 2024, , 250.

Following the initial publication [...].

Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent.

Stochastic gradient descent (SGD) performed in an asynchronous manner plays a crucial role in traini...

A Comparative Analysis Of Automatic And Manual Scoring Methods In Polysomnography.

The objective of this study was to compare twenty-six polysomnography (PSG) parameters between the g...

Machine learning applied to mild cognitive impairment: bibliometric and visual analysis from 2015 to 2024.

BACKGROUND: At present, the world is in the background of severe aging population challenges. Mild c...

A pathway-informed disease-related gene identification approach and its application to screen novel risk genes for Alzheimer's disease.

BACKGROUND: Alzheimer's disease (AD) is a severe neurodegenerative disorder, yet its molecular mecha...

Integrating Artificial Intelligence and Precision Therapeutics for Advancing the Diagnosis and Treatment of Age-Related Macular Degeneration.

Age-related macular degeneration (AMD) is a multifactorial retinal disease influenced by complex mol...

Layer-Specific Colocalization of Microglia with Amyloid Plaques in the Middle Temporal Gyrus Predicts Cognitive Decline in Alzheimer's Disease.

Alzheimer's disease (AD), the most common form of dementia, is marked by cognitive decline and amylo...

Functional MRI Analysis of Cortical Regions to Distinguish Lewy Body Dementia From Alzheimer's Disease.

OBJECTIVE: Cortical regions such as parietal area H (PH) and the fundus of the superior temporal sul...

AI-based staging, causal hypothesis and progression of subjects at risk of Alzheimer's disease: a multicenter study.

INTRODUCTION: In 2024, 11 European scientific societies/organizations and one patient advocacy assoc...

Alzheimer's diagnosis by an efficient pipelined gene selection model based on statistical and biological data analysis.

Diagnosing Alzheimer's disease based on gene expression data extracted from microarrays is still an ...

Brain metabolic imaging-based model identifies cognitive stability in prodromal Alzheimer's disease.

The recent approval of anti-amyloid pharmaceuticals for the treatment of Alzheimer's disease (AD) ha...

High-Resolution Spatial Profiling of Microglia Reveals Proximity Associated Immunometabolic Reprogramming in Alzheimer's Disease.

Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and int...

Expected length of stay in residential aged care facilities in Australia: Assessing the impact of dementia using machine learning.

In Reply to Letter to the Editor from Paudel: Comment on "Changes in iPSC-Astrocyte Morphology Reflect Alzheimer's Disease Patient Clinical Markers".