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Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems.
High dimensional classification of structural MRI Alzheimer's disease data based on large scale regularization.
Alzheimer's disease risk assessment using large-scale machine learning methods.
Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals.
Metabolic network failures in Alzheimer's disease: A biochemical road map.
Evidence for brain glucose dysregulation in Alzheimer's disease.
Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study.
Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.
Investigating Predictors of Cognitive Decline Using Machine Learning.
Regional Neurotoxicity & Early Biomarkers of Air Pollution Effects on Brain Aging
Alpha-2 macroglobulin in Alzheimer's disease: a marker of neuronal injury through the RCAN1 pathway.
A candidate gene study of risk for dementia in older, postmenopausal women: Results from the Women's Health Initiative Memory Study.
Novel biomarkers for early detection of Alzheimer's Disease
Analysis of pleiotropic genetic effects on cognitive impairment, systemic inflammation, and plasma lipids in the Health and Retirement Study.
Particulate matter and episodic memory decline mediated by early neuroanatomic biomarkers of Alzheimer's disease.
Developing Biomarkers for Early Detection of Alzheimer's Disease Using Machine Learning and Artificial Intelligence
Blood-based bioenergetic profiling reveals differences in mitochondrial function associated with cognitive performance and Alzheimer's disease.