Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Age-related cognitive impairment is multifactorial, with numerous underlying and frequently co-morbi...
INTRODUCTION: Dementia has become one of the significant causes of disability and dependency among o...
Patients with Mild Cognitive Impairment (MCI) have an increased risk of Alzheimer's disease (AD). Ea...
Abnormal activity in daily life is a relatively common symptom of chronic diseases, such as dementia...
PURPOSE: To validate the diagnostic performance of commercially available, deep learning-based autom...
INTRODUCTION: The need for caregiver respite is well-documented for the care of persons with IDD. So...
Although current research aims to improve deep learning networks by applying knowledge about the hea...
Diffusion tensor imaging (DTI) is a new technology in magnetic resonance imaging, which allows us to...
OBJECTIVES: This study aimed to examine the effect of 8-weeks of a 60-minute PARO intervention to re...
BACKGROUND: Dementia is a global public health priority due to rapid growth of the aging population....
In Alzheimer's disease, the molecular pathogenesis of the extracellular Aβ-amyloid (Aβ) instigation ...
Nowadays, individuals have very stressful lifestyles, affecting their nutritional habits. In the ear...
Predictive modeling of drug-induced gene expressions is a powerful tool for phenotype-based compound...
In recent years, studies on the use of natural language processing (NLP) approaches to identify deme...
Accurate prediction of clinical scores (of neuropsychological tests) based on noninvasive structural...
OBJECTIVE: While the use of biomarkers for the detection of early and preclinical Alzheimer's Diseas...
BACKGROUND: New research fields to design social robots for older people are emerging. By providing ...
Predicting the various binding sites of a protein from its structure sheds light on its function and...
The deep learning models play an essential role in many areas, including medical image analysis. The...
CNS disorders are indications with a very high unmet medical needs, relatively smaller number of ava...
INTRODUCTION: Automated computational assessment of neuropsychological tests would enable widespread...