Causal Discovery in Alzheimer’s Disease Research

This project was inspired by recent graphical transformer machine-learning methods for causal discovery. The challenge for causal discovery benchmarking is the need for a known underlying causal structure to compare with. My colleague Dr. Jiheum Park found an excellent dataset on Alzheimer’s progression which has a known gold-standard causal structure. This was a useful way to test a novel AI-based methodology.