Dementia

Machine Learning and Molecular Dynamics Based Insights into Mode of Actions of Insulin Degrading Enzyme Modulators.

BACKGROUND: Alzheimer's disease (AD) is one of the most common lethal neurodegenerative disorders ha...

Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study.

BACKGROUND AND OBJECTIVE: This study aimed to develop a late-life dementia prediction model using a ...

The Utilization of Robotic Pets in Dementia Care.

BACKGROUND: Behavioral problems may affect individuals with dementia, increasing the cost and burden...

Myricetin protects hippocampal CA3 pyramidal neurons and improves learning and memory impairments in rats with Alzheimer's disease.

There is currently no treatment for effectively slowing the progression of Alzheimer's disease, so e...

Machine Learning Applied to Alzheimer Disease.

Imaging and machine learning techniques for diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is a common health problem in elderly people. There has been considerable r...

Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Multimodal classification methods using different modalities of imaging and non-imaging data have re...

A Pilot Longitudinal Study on Cerebrospinal Fluid (CSF) Tau Protein in Alzheimer's Disease and Vascular Dementia.

BACKGROUND: Alzheimer's disease (AD) has high a prevalence rate, high medical costs, and care diffic...

A Novel and Intelligent Home Monitoring System for Care Support of Elders with Cognitive Impairment.

BACKGROUND: Assistive technology, in the form of a smart home environment, is employed to support pe...

Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.

The study of brain networks by resting-state functional magnetic resonance imaging (rs-fMRI) is a pr...

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.

We present a comparative split-half resampling analysis of various data driven feature selection and...

Dissociation of Down syndrome and Alzheimer's disease effects with imaging.

INTRODUCTION: Down Syndrome (DS) adults experience accumulation of Alzheimer's disease (AD)-like amy...

[Rehabilitation and nursing-care robots].

In the extremely aged society, rehabilitation staff will be required to provide ample rehabilitation...

[Robotics and improvement of the quality of geriatric care].

New technologies offer innovations to improve the care of the elderly with Alzheimer's or and other ...

Dementia and Robotics: People with Advancing Dementia and Their Carers Driving an Exploration into an Engineering Solution to Maintaining Safe Exercise Regimes.

The merging of the human world and the information technology world is advancing at a pace, even for...

Discrimination of Active and Weakly Active Human BACE1 Inhibitors Using Self-Organizing Map and Support Vector Machine.

β-secretase (BACE1) is an aspartyl protease, which is considered as a novel vital target in Alzheime...

Alzheimer's Disease Brain Areas: The Machine Learning Support for Blind Localization.

The analysis of positron emission tomography (PET) scan image is challenging due to a high level of ...

Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data.

Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that h...

Multimodal manifold-regularized transfer learning for MCI conversion prediction.

As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to c...

Using a Robotic Cat in Dementia Care: A Pilot Study.

The current study aimed to explore (a) reactions of individuals with dementia to an interactive robo...

Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy.

In this paper, experimental neurophysiologic recording and statistical analysis are combined to inve...