Predicting Rates of Cognitive and Functional Decline in Alzheimer's Disease and Mild Cognitive Impairment

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Authors: Antigone Fogel
Cited by: 0

Abstract

Theia is a clinical decision support tool developed to predict the rate of cognitive and functional decline in individuals living with dementia. This tool uses machine learning techniques and routinely collected clinical assessment data to support personalised prognosis and care planning. Sometimes, simple paper‑and‑pencil cognitive and functional tests can outperform MRI scans when it comes to predicting how Alzheimer’s disease and mild cognitive impairment will progress. This finding doesn’t undermine the importance of neuroimaging. Instead, it highlights the need for balanced, pragmatic approaches to dementia care, combining accessible cognitive and functional assessments with advanced technologies to better estimate trajectories and health and care needs. This repository includes code, data-processing notebooks, and documentation used in the study.

Fields of Study & Subjects

Dementia and Cognitive Impairment Research Artificial Intelligence in Healthcare Cancer-related cognitive impairment studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 March 2026
Language
EN