R. C. Curiel Cid

Machine learning for the prediction of amyloid PET positivity using plasma biomarkers, cognition, APOE genotype, and structural imaging

Purpose Machine learning to enable precise, non-invasive detection of cerebral amyloid-beta (Aβ) pathology by integrating cognitive assessments, plasma biomarkers, and structural neuroimaging. Methods We developed an explainable multimodal machine-learning framework to predict amyloid PET visual read status using plasm...