In the field of neurodegeneration, speech and language assessments are useful for
diagnosing aphasic syndromes and for characterizing other disorders. As a complement to …

Alzheimer's disease (AD) has become a problem, owing to its high prevalence in an aging
society with no treatment available after onset. However, early diagnosis is essential for …

Language impairment is an important biomarker of neurodegenerative disorders such as
Alzheimer's disease (AD). Artificial intelligence (AI), particularly natural language processing …

'A work of exhilarating scope and relevance... What a rare and powerful experience to feel a
book in your very body'Naomi Klein'Health is not something we can attain as individuals, for …

Background We developed transformer-based deep learning models based on natural
language processing for early risk assessment of Alzheimer's disease from the picture …

There is currently no simple, widely available screening method for Alzheimer's disease
(AD), partly because the diagnosis of AD is complex and typically involves expensive and …

Background Identification of reliable, affordable, and easy-to-use strategies for detection of
dementia is sorely needed. Digital technologies, such as individual voice recordings, offer …

Alzheimer's disease (AD) is a pervasive neurodegenerative disease that affects millions
worldwide and is most prominently associated with broad cognitive decline, including …

Dementia is a neurodegenerative disease that leads to the development of cognitive deficits,
such as aphasia, apraxia, and agnosia. It is currently considered one of the most significant …

Automated speech and language analysis (ASLA) is a promising approach for capturing
early markers of neurodegenerative diseases. However, its potential remains …