AIMC Topic: Late Onset Disorders

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Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease.

PloS one Mar 31, 2021
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 l...
Late Onset Disorders Alzheimer Disease CpG Islands Leukocytes Aged Aged, 80 and over Sensitivity and Specificity Male Prognosis Female Biomarkers Epigenesis, Genetic Epigenomics Signal Transduction DNA Methylation Deep Learning Genome-Wide Association Study Case-Control Studies Humans
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A Machine Learning Approach to Identifying Placebo Responders in Late-Life Depression Trials.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry Jan 11, 2018
OBJECTIVE: Despite efforts to identify characteristics associated with medication-placebo differences in antidepressant trials, few consistent findings have emerged to guide participant selection in drug development settings and differential therapeu...
Single-Blind Method Placebo Effect Treatment Outcome Late Onset Disorders Citalopram Antidepressive Agents, Second-Generation Aged Aged, 80 and over Male Depression Machine Learning Female Humans
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Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Language Case-Control Studies Biomarkers Cognition Observational Studies as Topic Wearable Electronic Devices Mobile Applications Humans Artificial Intelligence Prospective Studies Medical History Taking Memory Hong Kong Late Onset Disorders Clinical Trial Protocols as Topic Behavior Mental Status and Dementia Tests Asian People Alzheimer Disease Ethnicity Early Diagnosis Models, Biological Patient Selection Mutation
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