National Institutes of Health (NIH) R01AG075775 | An automated machine learning approach to language changes in Alzheimer’s disease and frontotemporal dementia across Latino and English-speaking populations | 2023 – 2028

Alzheimer’s disease (AD) and frontotemporal dementia (FTD) are major causes of disability and death in the US and Latin America. Dementia prevalence is high among Latinos, the US’s fastest-growing minority, yet financial inequities hinder access to diagnostic procedures. Limited availability of culturally valid tests complicates accurate diagnosis. This project aims to develop an automated, low-cost, culturally-sensitive speech analysis tool to diagnose AD and FTD in Spanish-speaking Latinos using a cohort of 3300 participants.

PI: Adolfo García, Agustín Ibáñez & Marilu Gorno-Tempini
Co-I: Claudia Duran-Aniotz
Support: National Institutes of Health (NIH), USA.