Using Artificial Intelligence to Better Diagnose Neurodegenerative Diseases

Led by TDRA investigator Dr. Carmela Tartaglia, a team of scientists from the Centre for Addiction and Mental Health (CAMH), the Krembil Centre for Neuroinformatics (KCNI), the Tanz Centre for Research in Neurodegenerative Diseases, and the TDRA has received funding (2022-2024) for a project that aims to improve the delivery of person-centered care to people with neurodegenerative diseases.

Using Artificial Intelligence (AI), this collaborative project will develop non-invasive diagnostic and prognostic algorithms in older individuals who present with cognitive complaints (e.g., trouble remembering where belongings are kept). To do this, the study team will assess a set of neurodegenerative biomarkers (i.e., objective medical signs), including protein and genomic variability, in a group of people living with cognitive impairments. Biomarkers will be assessed for their contribution to cognitive phenotype (i.e., type of cognitive impairment) and severity. The study team will also assess if a person’s biomarker profile can predict the progression of cognitive symptoms over a one-year follow-up period.

The aim of this project is to better diagnose neurodegenerative diseases and ultimately enable targeted treatment in patients with specific underlying disease pathologies. For more details, visit our studies page or the Krembil Foundation website. 

Project Title: Improving Prognostic Confidence in Neurodegenerative Diseases Causing Dementia Using Peripheral Biomarkers and Integrative Modelling

Please see below for the project team: