By D. W. G. Kalani Tharanga, JadeTimes News
In a groundbreaking initiative, scientists in Scotland are harnessing the power of artificial intelligence (AI) to analyze over 1.6 million brain scans collected from patients across the country. This unprecedented access to such a vast dataset aims to uncover patterns that could help predict an individual's risk of developing dementia.
AI Powered Analysis, A New Frontier in Dementia Research
A team of 20 researchers from the universities of Edinburgh and Dundee has been granted unique permission to examine an extensive collection of anonymized CT and MRI scans gathered over a decade from the Scottish population. This marks the first time UK scientists have had access to such a significant volume of data, enabling a more comprehensive study than ever before. The researchers plan to use AI to detect early signs of dementia, which is often characterized by the build up of proteins in the brain that leads to cognitive decline.
Previous studies have been hampered by limited data access, but this large scale project, named Scan Dan (Scottish AI in Neuroimaging to predict Dementia and Neurodegenerative Disease), is poised to revolutionize the early detection of dementia. The goal is to develop tools that assist radiologists in identifying dementia much earlier, allowing for timely interventions that could slow disease progression.
Early Detection, A Path to Better Brain Health
The importance of early diagnosis cannot be overstated, as it allows patients to make lifestyle changes that may improve brain health and slow the onset of symptoms. Willy Gilder, a 71 year old former journalist from Edinburgh who was diagnosed with Alzheimer’s three years ago, highlights the benefits of early detection. "Knowing you're at risk gives you the chance to take steps that will help maintain brain health," he said.
The project, which is part of a global research collaboration called NEURii, is co led by Prof Emanuele Trucco from Dundee University and Prof Will Whiteley from Edinburgh University’s Centre for Clinical Brain Sciences. While the researchers are still determining exactly what they will find in the scans, they are optimistic that patterns will emerge that can predict dementia risk.
The team anticipates that by early next year, they will have a clearer understanding of AI’s potential in this field, though it may take several more years before a practical tool is developed for widespread use. Prof Whiteley emphasized the project's potential to significantly advance dementia treatment by enabling large scale trials that could lead to new therapies. This initiative is a vital step forward in the fight against dementia, offering hope for early intervention and better outcomes for those at risk.
