Objective To analyze the definition of “cognitive frailty” and to study the conceptual and
operational definitions used and their implications for empirical research. The relationships …

Background: The discovery of early, non-invasive biomarkers for the identification of
“preclinical” or “pre-symptomatic” Alzheimer's disease and other dementias is a key issue in …

Background In the past few years there has been a growing interest in the employment of
verbal productions as digital biomarkers, namely objective, quantifiable behavioural data …

Almost 50 million people are living with dementia in 2018 worldwide, and the number will
double every 20 years. The effectiveness of existing pharmacologic treatments for the …

Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …

The World Health Organization estimates that 50 million people are currently living with
dementia worldwide and this figure will almost triple by 2050. Current pharmacological …

While recent studies indicate that AI could play an important role in detecting early signs of
Alzheimer's disease in speech, this use of data from individuals with cognitive decline raises …

We present a machine learning analysis of eye-tracking data for the detection of mild
cognitive impairment, a decline in cognitive abilities that is associated with an increased risk …

To date, the major dilemma concerning frailty is the lack of a standardized language
regarding its operationalization. Considering the demographic challenge that the world is …

Smart cities face the challenge of combining sustainable national welfare with high living
standards. In the last decades, life expectancy increased globally, leading to various age …