A full description of TELL v.1.0.0 has been published in Behavior Research Methods, the main scientific journal on cognitive science methods, techniques, and instrumentation. We are proud to receive this validation from a world-leading expert venue. See the full paper here.
It is well known that most medical studies and clinical trials are conducted in white populations from developed countries. And although the risk of suffering from different diseases depends very closely on socioenvironmental and socioeconomic factors, the same is true for dementias and other neurodegenerative disorders. There are 7000 languages in the world and only […]
New funding for the development of an automated dementia detection and characterization system awarded by ReDLat scientists (in Spanish)
Dementia is a crucial health problem in contemporary society, and two of its most common variants are frontotemporal dementia and Alzheimer’s disease. In Latin America, this condition represents great challenges, given the burden it imposes not only on those who suffer from it, but also on their families who must redouble the efforts associated with […]
Talk on the origins and horizons of TELL during the 21st Argentine Congress of Students of Industrial Engineering and Related Careers.
The Cognitive Neuroscience Center (University of San Andrés, Argentina), together with the ReDLat consortium, will lead the largest study of language, AI, neuroscience and dementia in the region. The project, titled «An automated machine learning approach to language changes in Alzheimer’s disease and frontotemporal dementia across Latino and English-speaking populations», is aimed at developing an […]
Talk on the latest advances in linguistic markers of brain health. For more information, please click here.
TELL, our speech testing app, has been incorporated into the Alzheimer’s Association Business Consortium. We are excited to team up with notable stakeholders to develop scalable solutions for patients worldwide. For more information on the AABC, click here.
Alejandro Sosa Welford is a dedicated Sound Engineering student with a passion for solving complex problems and exploring new technologies. He has developed a strong foundation in signal processing, with a particular interest in speech and music. Alejandro is currently completing his final thesis for his program at the Universidad Nacional de Tres de Febrero. […]
Joaquín Ponferrada is an accomplished Sound Engineer, having completed his studies at the Universidad Nacional de Tres de Febrero. His academic focus has been on Digital Signal Processing, Sound Post-Production, and Digital Audio, demonstrating a strong foundation in both the theoretical and practical aspects of sound engineering. Since April 2022, Joaquín has been serving as […]
Lautaro has over 5 years of experience in the data science field, and has worked on a variety of projects, including fraud detection, customer segmentation, and product recommendation. Lautaro is a skilled data scientist with a strong understanding of machine learning and statistical methods. He is also an experienced communicator and is able to effectively […]