Objective: Machine learning classification has been the most important computational
development in the last years to satisfy the primary need of clinicians for automatic early …

Objective Alzheimer's disease (AD) involves a series of pathological changes and some
biomarkers were reported to assist in monitoring and predicting disease progression before …

Background: As tau aggregation pathology correlates with clinical dementia in Alzheimer's
disease (AD), a tau aggregation inhibitor (TAI) could have therapeutic utility …

Visual inspection of neuroimagery is susceptible to human eye limitations. Computerized
methods have been shown to be equally or more effective than human clinicians in …

Atrophy of the medial temporal lobe, especially the hippocampus and the parahippocampal
gyrus, is considered to be the most predictive structural brain biomarker for Alzheimer's …

This comprehensive, pedagogically-oriented review is aimed at a heterogeneous audience
representative of the allied disciplines involved in research and patient care. After a …

Patients with Alzheimer's disease have reduced cerebral blood flow measured by arterial
spin labelling magnetic resonance imaging, but it is unclear how this is related to amyloid-β …

Abstract Introduction The number of Alzheimer's Disease (AD) patients is increasing with
increased life expectancy and 115.4 million people are expected to be affected in 2050 …

Resting-state functional magnetic resonance imaging (fMRI), a promising technique for
measuring brain activities during rest, has attracted much attention in the past few years. In …

We conducted a randomized placebo-controlled double-blind 24-week trial using Melissa
officinalis (M. officinalis) extract richly containing rosmarinic acid (RA) on patients with mild …