Hammond et al. [191] extracted AD-related biomarkers from the ADNI database and evaluated the efficacy of each indicator in predicting the clinical status of normal cognition, MCI, and AD using the random forest machine learning algorithm, among which Aβ and phosphorylated tau protein had higher contributions in predicting early cognitive impairment, and glucose uptake predicted late cognitive impairment better. This evidence concerns the gene MAPT and Alzheimer disease.