Machine learning for comprehensive prediction of high risk for Alzheimer’s disease based on chromatic pupilloperimetry

Machine learning for comprehensive prediction of high risk for Alzheimer’s disease based on chromatic pupilloperimetry

Abstract Currently there are no reliable biomarkers for early detection of Alzheimer's disease (AD) at the preclinical stage. This study assessed the pupil light reflex (PLR) for focal red and blue light stimuli in central and peripheral retina in 125 cognitively normal middle age subjects (45–...

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Bibliographic Details
Main Authors: Yael Lustig-Barzelay, Ifat Sher, Inbal Sharvit-Ginon, Yael Feldman, Michael Mrejen, Shada Dallasheh, Abigail Livny, Michal Schnaider Beeri, Aron Weller, Ramit Ravona-Springer, Ygal Rotenstreich
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-13999-0

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https://doi.org/10.1038/s41598-022-13999-0

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