Latest AI and machine learning research in dementia for healthcare professionals.
INTRODUCTION: The locus coeruleus (LC) is linked to the development and pathophysiology of neurodege...
Although omics and multi-omics approaches are the most used methods to create signature arrays for l...
INTRODUCTION: Neuropsychiatric symptoms are common in people with Alzheimer's disease (AD) across al...
BACKGROUND: Accurate diagnosis and classification of Alzheimer's disease (AD) are crucial for effect...
Purpose To extend a previously developed machine learning algorithm for harmonizing brain volumetric...
Alzheimer's disease (AD) is a neurocognitive disorder that deteriorates memory and impairs cognitive...
Alzheimer's Disease and Related Dementias (ADRD) afflict almost 7 million people in the USA alone. T...
Given the complexity and multifactorial nature of Alzheimer's disease, investigating potential drug-...
Looking at caregivers' faces is important for early social development, and there is a concomitant i...
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical predi...
OBJECTIVE: This study aims to automate the prediction of Mini-Mental State Examination (MMSE) scores...
Alzheimer's Disease (AD) is a serious neurological illness that causes memory loss gradually by dest...
BACKGROUND: Dementia associated with Alzheimer's disease (AD) is a neurological disorder. AD is a pr...
Dynamic prediction models capable of retaining accuracy by evolving over time could play a significa...
BACKGROUND/AIMS: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that severely ...
White matter hyperintensities (WMH) of presumed vascular origin are a magnetic resonance imaging (MR...
BACKGROUND: Caregiver burden significantly affects both patients and caregivers but is often overloo...
The interactions between long noncoding RNA (lncRNA) and microRNA (miRNA) play critical roles in lif...
Recent advances in single-cell RNA-Sequencing (scRNA-Seq) technologies have revolutionized our abili...
Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorit...
Cognitive decline in Parkinson's disease (PD) varies widely. While models to predict cognitive progr...