Article

Predicting Brain Amyloid using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals from the ADNI and OASIS Databases

2020-10-17

Abstract excerpt

<h4>ABSTRACT</h4> Biomarker-assisted preclinical/early detection and intervention in Alzheimer’s disease (AD) may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is the accumulation of beta-amyloid (Aβ) plaques in the human brain. However, current methods to detect Aβ pathology are either invasive (lumbar puncture) or quite costly and not widely available (amyloid PET). Our prio...

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Literature Corpus work: a581e4b5-edd5-5fbd-8b96-b0a37b3aca92
DOI: 10.1101/2020.10.16.343137

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Predicting Brain Amyloid using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals from the ADNI and OASIS DatabasesDOI 10.1101/2020.10.16.343137Read

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