4,068 posters, 219 videos, 101 topics, 69 sessions, 14,365 authors, 6,128 institutions
ePostersLive by SciGen Technologies S.A. All rights reserved.
Alzheimer's Association International Conference 2026
July 12-15, 2026 | London, United Kingdom, and Online
5593
A Machine Learning Approach To Sensory-based Cognitive Risk Prediction In The Older Population Of Southern Italy
Poster Presenter
Authors
Rodolfo Sardone, Feliciana Catino, Fabio Castellana, Giovanni Boero, Carlo Santoro
Affiliations
Research and Innovation Unit, Local Health Authority of Taranto; Urban Health Center, Taranto; University of Liverpool, Liverpool, UK., Urban Health Center - Local Public Health Authority of Taranto, Taranto, Italy;, Neurology and Stroke Unit, Local Health Authority of Taranto, Italy;
Part of Topic
A Machine Learning Approach to Sensory-based Cognitive Risk Prediction in the Older Population of Southern Italy.
Across a 636-participant 8-year cohort and a deep-phenotyping case-control extension, hearing and vision were the most robust sensory predictors of cognition; central auditory processing (CAPD) and plasma p-tau217 emerged as the strongest correlates of MCI.
Comments
Email is required but is not shown publicly.
Loading comments...