Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories

This paper introduces a residual gap-aware transformer for forecasting 24-month Alzheimer's disease progression using ADNI clinical and biomarker histories. The research analyzes changes in CDR-SB scores, anchoring samples at mild cognitive impairment visits.