An Artificial intelligence-based method for diagnosing Alzheimer's Disease or determining susceptibility to Alzheimer's Disease includes a step of obtaining a blood sample from a target subject (e.g., a human). The degree of methylation in one or a plurality of Alzheimer indicators genes is identified for leukocytes in the blood sample. Each Alzheimer indicator gene is identified as being an indicator of the presence of or risk of developing Alzheimer's Disease. Characteristically, the at least one or the plurality of Alzheimer indicators genes have been identified by a machine learning technique or by logistic regression. Finally, the target subject is identified as being at risk for Alzheimer's Disease if the amount of methylation of one or more Alzheimer indicators genes differs from the amount of methylation established in control subjects (for the same genes) not having Alzheimer's Disease by a predetermined amount.
ARTIFICIAL INTELLIGENCE AND BLOOD EPIGENOMIC ANALYSIS FOR ALZHEIMERS DISEASE