I find it really interesting that you used machine learning to do the diagnosis given the data you had available - scans seem to be naturally similar to images that we use neural networks on today so t he fit seems good. I was wondering though, did you have any ability to dissect the algorithm after it was trained and see what exact characteristics it was looking for?

The reason I ask is because there's some description of the processes we know indicate Alzheimers, but there could be new signs this algorithm has identified that could be applied more directly?