Improving genetic risk modeling of dementia from real-world data in underrepresented populations.

Mingzhou FuLeopoldo Valiente-BanuetSatpal S Wadhwanull nullnull nullBogdan PasaniucKeith VosselTimothy S Chang

Published in: medRxiv : the preprint server for health sciences (2024)

Our study highlights benefits of integrating functional mapping, multiple neurodegenerative diseases, and machine learning for genetic risk models in diverse populations. Our findings hold potential for refining precision medicine strategies in dementia diagnosis.

Keyphrases

machine learning
mild cognitive impairment
cognitive impairment
genome wide
big data
high resolution
copy number
artificial intelligence
genetic diversity
dna methylation
mass spectrometry