TPE: finding the turning point in disease progression
Disease trajectories are not lines. They bend, and the bend is where the clinical meaning hides.
Disease trajectories are not lines. They bend, and the bend is where the clinical meaning hides.
I will remotely attend AAIC 2026 in London to present recent work in neuroimaging and machine learning for Alzheimer's disease.
A podium talk on a 2.5D deep learning classifier for PET tracer identification, and a poster introducing the tau therapeutic window as an eligibility criterion for anti-amyloid …
A deep learning model that reads a brain PET scan and identifies which radiotracer produced it.
Measuring how differently neurodegeneration expresses across patients and across the brain.