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CNC Projects

An automated machine learning approach to language changes in Alzheimer's disease and frontotemporal dementia across Latino and English-speaking populations.

National Institute of Health - NIA R01

This project uses automated speech and language analysis to detect dementia in underserved Latino populations. Machine learning will be used in a large Latin American and U.S. cohort to test the diagnostic utility of language markers, correlate them with neurocognitive characteristics, and identify those that are robust to sociobiological heterogeneity. Our goal is to provide equitable diagnostic support tools, reducing the cost and time of testing, eliminating examiner bias, and enabling timely adoption of therapies.

 

US-South American initiative for genetic-neural-behavioral interactions in human neurodegenerative research.

National Institute of Health - NIA R01

The CNC is a member of the NIH-R01-supported RedLat project, a multi-partner consortium that aims to expand dementia research in Latin America and the Caribbean. The consortium aims to combine genomic, neuroimaging and behavioral (clinical, cognitive, socioeconomic) data to improve the characterization of dementia and identify new advances in the treatment of neurodegeneration in different populations. This five-year project is an unprecedented opportunity to foster regional synergies and multidisciplinary research to promote the harmonization of global strategies to treat and ultimately prevent dementia in diverse and underserved populations around the world.

 

International Network for Language Assessment across Neural Disorders.

Pilot grant from the Alzheimer's Association, the Alzheimer's Society, and the Global Brain Health Institute

Speech and language assessment provides important information about diseases, syndromes, and neurodegenerative disorders. But the global impact of this approach is limited by the underrepresentation of many languages and lack of standardization, leading to unequal access and isolationism. To address this situation, we have created the International Network for Interlinguistic Research on Brain Health (Include), a multi-center platform for equitable and harmonized cross-regional linguistic research on brain health.

 

Automated speech analysis framework for Latinos with Alzheimer's disease and frontotemporal dementia.

BrainLat Seed Grant

The growing problem of Alzheimer's disease and frontotemporal dementia requires scalable ways to identify patients. Automated speech analysis is a low-cost solution that reveals early markers of dementia. However, no studies have focused on Latin American Spanish speakers. This grant proposes a regional framework for discovering novel markers in Spanish-speaking Latinos by analyzing pre-existing speech data, combining speech analysis with machine learning, and testing whether these markers reflect symptom severity in each disorder.

 

Natural speech markers of neurodegeneration: An interdisciplinary approach for disease discrimination and symptom tracking.

National Institute of Health - PPG

The CNC supports the UCSF Primary Project Grant, an initiative that provides multidimensional neurocognitive characterizations of dementia in the United States. We offer expertise in automated speech and language processing as well as multimodal neuroscientific methods.

 

Challenges for the development of fair language-based assessments of health, education, behavior, and beyond.

CAT Project - Network of European Institutes for Advanced Study

Our goal is to address the problem of language-based assessments that are developed primarily in a few languages, especially English, leading to a new source of inequality worldwide for minority language speakers. Our solution is to bring together multidisciplinary experts to critically analyze the English-speaking bias of language-based assessments, develop practical recommendations for policy makers and language technology experts, and engage the public through a mini-documentary and media strategies.

 

Hearing Impairment and Behavioral Science: Interventions to Promote Bilingual Education.

Behavioral Science for Public Policy Program - Economic and Social Council

The general objective of this project is to use behavioral science protocols to correct misconceptions about early language development in hearing impaired children and to generate a convergence between opposite positions regarding the most appropriate type of language education for this population.

Early childhood in Argentina: challenges and opportunities for a comprehensive approach.

Minderoo Foundation

This project includes a comprehensive diagnosis of the current situation of early childhood in Argentina, focusing on current public policies and the actors involved who have worked and are working for this purpose. Recommendations are made to improve and implement public policies on early childhood in Argentina.

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