Arham Aziz
Unlocking the sleep signature of Alzheimer’s disease
Sir Wilfrid Laurier Secondary School
Here, I describe a deep learning-based neural network that can determine from the brain scans of the regions involved in sleep disorder whether or not the person will develop Alzheimer’s Disease (AD). This has the potential to diagnose AD much earlier, as well as be integrated into the clinic in the near future. I also propose to design a polysomnography test that will assess a person’s sleep behaviour to predict AD in the preclinical stage, as an alternative to expensive, and time-consuming imaging.