Machine-learning MRI stratification of genetic frontotemporal dementia for clinical trial enrichment
Machine-learning stratification of genetic FTD reveals a progressive and a dissociated disease track and provides individualized progression scores that closely track clinical status, enabling smaller, more efficient prevention and early-intervention trials than conventional MRI or NfL markers alone.