Last Posted: May 28, 2020
- Genotype concordance and polygenic risk score estimation across consumer genetic testing data.
Batra Prag et al. Annals of human genetics 2020 May - ARTIFICIAL INTELLIGENCE AND NEUROPSYCHOLOGICAL MEASURES: THE CASE OF ALZHEIMER'S DISEASE.
Battista Petronilla et al. Neuroscience and biobehavioral reviews 2020 May - Application of Next-Generation Sequencing in Neurodegenerative Diseases: Opportunities and Challenges.
Shademan Behrouz et al. Neuromolecular medicine 2020 May - Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation.
Vecchio Fabrizio et al. Journal of Alzheimer's disease : JAD 2020 May - Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
Wen Junhao et al. Medical image analysis 2020 May 63101694 - Deep Learning based Mild Cognitive Impairment Diagnosis Using Structure MR Images.
Jiang Jingwan et al. Neuroscience letters 2020 May 134971 - Development and validation of an interpretable deep learning framework for Alzheimer's disease classification.
Qiu Shangran et al. Brain : a journal of neurology 2020 May - Early Detection of Alzheimer's Disease with Blood Plasma Proteins using Support Vector Machines.
Eke Chima Stanley et al. IEEE journal of biomedical and health informatics 2020 Apr - Validation of machine learning models to detect amyloid pathologies across institutions.
Vizcarra Juan C et al. Acta neuropathologica communications 2020 Apr 8(1) 59 - Risk factor for Alzheimer’s disease breaks the blood–brain barrier
M Ishii et al, Nature News, April 30, 2020
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