by A professor of ophthalmology at the University of Colorado School of Medicine, Jayashree Kalpathy-Cramer, has been awarded a $300,000 grant from The Michael J. Fox Foundation. The grant will support research into identifying biomarkers of Parkinson’s disease using artificial intelligence (AI). Parkinson’s disease is a progressive disorder that affects the nervous system and causes uncontrollable movements.
Kalpathy-Cramer plans to analyze clinical data collected at the Sue Anschutz-Rodgers Eye Center using AI technology. The goal of the research is to identify biomarkers of Parkinson’s disease and predict the onset of the disease before symptoms manifest. This early detection could lead to improved future care for patients.
The use of AI in analyzing retinal imaging has shown promise in detecting other diseases such as schizophrenia, dementia, and cardiovascular risk factors. Kalpathy-Cramer hopes to apply similar techniques to Parkinson’s disease detection.
The research team will have access to a large retrospective dataset consisting of images and health records from patients seen at the Rocky Mountain Lions Eye Institute over the past decade. They will use AI to analyze the data and look for potential biomarkers of the disease.
In the future, Kalpathy-Cramer plans to expand the research to include larger and more diverse datasets. By incorporating different modalities and utilizing machine learning and AI, the team aims to improve their ability to predict disease prevalence and incidence.
The research is set to begin on November 1 and will last for 18 months. Kalpathy-Cramer expresses gratitude to The Michael J. Fox Foundation for their support and commends their dedication to funding groundbreaking work in the field.
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1. Source: Coherent Market Insights, Public sources, Desk research
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