Author
University of Southern California
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
5 papers
Recent·Most cited
Hengda He, Qolamreza Ray Razlighi, Yunglin Gazes…·Evan Fletcher
This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.
Mabel Seto, Hannah M Klinger, Michelle J. Clifton…·Rachel F. Buckley
The paper identifies gene associations with plasma pTau217 in preclinical Alzheimer's disease, showing modulation by APOEε4, Aβ-PET, and sex, with X-linked genes playing a role.
Masataka Kikuchi, Akinori Miyashita, Norikazu Hara…·Gary R. Conrad
This paper evaluates the polygenic risk score for Alzheimer's disease in Japanese individuals, showing its utility despite genetic differences from European populations.
Benjamin Goudey, Bowen John Fung, Christine Schieber…·Kyle B. Womack
This paper develops a blood-based machine learning model to predict cerebral spinal fluid Aβ1-42 levels, showing high accuracy in identifying Alzheimer's disease risk.
Alexandra L. Young, Razvan Valentin Marinescu, Neil P. Oxtoby…·Ronald G. Thomas
This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.