4 papers
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Ayush Noori, Joaquín Polonuer, Katharina Meyer +26
Neurological diseases are the leading global cause of disability, yet most lack disease-modifying treatments. We present PROTON, a heterogeneous graph transformer that generates te…
Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data
Yu Leng, Yingnan He, Colin Magdamo +7
Identifying cognitive impairment within electronic health records (EHRs) is crucial not only for timely diagnoses but also for facilitating research. Information about cognitive im…
Multi Scale Graph Neural Network for Alzheimer's Disease
Anya Chauhan, Ayush Noori, Zhaozhi Li +4
Alzheimer's disease (AD) is a complex, progressive neurodegenerative disorder characterized by extracellular A\b{eta} plaques, neurofibrillary tau tangles, glial activation, and ne…
Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias
Matthew West, Colin Magdamo, Lily Cheng +2
Alzheimer's disease is a progressive, debilitating neurodegenerative disease that affects 50 million people globally. Despite this substantial health burden, available treatments f…