3 stories tagged Alzheimer's
Researchers developed REVEAL++, an AI method that analyzes retinal fundus images and structured clinical narratives to predict Alzheimer's disease risk. The approach improves upon prior work by introducing differentiable phenotypic grouping for more precise risk stratification.
Researchers evaluated TabPFN against traditional machine learning methods for predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) conversion. The study found TabPFN performed comparably to traditional models despite limited longitudinal data.
Researchers developed CognitiveTwin, a digital twin framework that predicts individual cognitive decline in Alzheimer's disease using multi-modal data. The model aims to provide accurate, fair, and robust predictions across diverse patient demographics.