SIDE-AD
Research type
Research Study
Full title
Speech for Intelligent cognition change tracking and DEtection of AD (SIDE-AD) Research Program
IRAS ID
323311
Contact name
Saturnino Luz
Contact email
Sponsor organisation
University of Edinburgh
Duration of Study in the UK
2 years, 0 months, 1 days
Research summary
This project will carry out research and development of a speech-based application for the collection of brain health priorities which are specific and meaningful to the individual using the tool, and for the analysis of speech data in combination with routinely available clinical data. This will enable real world validation of speech-based digital biomarkers in individuals with early Alzheimer’s disease (AD). The research program will employ machine learning and natural language processing technology to automate the assessment of the respondents’ speech patterns indicative of brain health status relevant to emergent AD-specific speech biomarkers. We will recruit patients primarily from the PREVENT longitudinal cohort study and additionally from NHS memory clinics allowing the voice data to be analysed with respect to other available research data or routinely collected healthcare data in memory clinics, including neurodegenerative disease diagnosis; clinical outcomes (activities of daily living, mood/anxiety and sleep measures; neuropsychological outcomes (cognitive tests); neuroimaging outcomes and biomarker outcomes: genetic risk (ApoE4), amyloid and tau levels.
REC name
West Midlands - Solihull Research Ethics Committee
REC reference
23/WM/0153
Date of REC Opinion
18 Aug 2023
REC opinion
Further Information Favourable Opinion