Automated detection of progressive speech changes in early Alzheimer's disease.

Unlabelled: Speech and language changes occur in Alzheimer's disease (AD), but few studies have characterized their longitudinal course. We analyzed open-ended speech samples from a prodromal-to-mild AD cohort to develop a novel composite score to characterize progressive speech changes. Participant speech from the Clinical Dementia Rating (CDR) interview was analyzed to compute metrics reflecting speech and language characteristics.

Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer's dementia.

Background: Language impairment is an important marker of neurodegenerative disorders. Despite this, there is no universal system of terminology used to describe these impairments and large inter-rater variability can exist between clinicians assessing language. The use of natural language processing (NLP) and automated speech analysis (ASA) is emerging as a novel and potentially more objective method to assess language in individuals with mild cognitive impairment (MCI) and Alzheimer's dementia (AD).

Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech.

Research related to the automatic detection of Alzheimer's disease (AD) is important, given the high prevalence of AD and the high cost of traditional diagnostic methods. Since AD significantly affects the content and acoustics of spontaneous speech, natural language processing, and machine learning provide promising techniques for reliably detecting AD. There has been a recent proliferation of classification models for AD, but these vary in the datasets used, model types and training and testing paradigms.

[SCREENING OF WILD SPREAD AND CULTIVATED OF BUXUS SPECIES GROWING IN GEORGIA ON THE CONTENT OF ALKALOIDS AND BIOLOGICAL ACTIVITY].

Georgian flora is represented by about 4150 plant species. Many important alkaloid-containing plant species and among of them are species Buxus L. of genus in Adjara.

[ALKALOIDS OF PEGANUM HARMALA L. AND THEIR BIOLOGICAL ACTIVITY].

Peganum Harmala L., Peganасеае widely distributed in Georgia. On the basis of chemical analysis of the composition of alkaloids it was found out that the plant contains quinazoline derivatives, among which dominats alkaloid d, 1 peganine: С11Н12NО2, m.