Alzheimer's Disease

Background. Inexpensive, scalable biomarkers of early Alzheimer’s disease (AD) remain an unmet need, and the retina, as a developmental …

Presented a poster on using interpretable machine learning on micro-ERG signals to discriminate WT from 5xFAD retinas, identifying muted gain tracking as a key biomarker.

Alzheimer’s disease (AD) is a widespread neurodegenerative disorder that currently lacks early and accessible diagnostic tools. …

Discussed the therapeutic potential of XBP1s overexpression in preserving retinal function during aging and Alzheimer’s disease pathology in mouse models.

A talk presenting complexity-based analysis of retinal electrophysiology (micro-ERG) to discover noninvasive ocular biomarkers for neurodegenerative diseases.

Loss of physiological complexity, characterized by reduced adaptive multiscale coordination among system components, is increasingly …

Presented recent work on using multiscale entropy (MSE) and complexity-loss theory to detect neurodegenerative conditions via retinal electrophysiology.

Presented a study exploring the protective role of transcription factor XBP1s overexpression in retinal aging and neurodegeneration using multiscale entropy.