Ranjan Duara

The paper develops a tangle maturity scale to evaluate Alzheimer's disease pathology using tau antibodies and machine learning, showing early tau modifications precede advanced ones.

This paper evaluates the polygenic risk score for Alzheimer's disease in Japanese individuals, showing its utility despite genetic differences from European populations.

This study identifies novel Alzheimer's disease risk loci by analyzing multi-ancestry GWAS data from diverse populations, highlighting the importance of including underrepresented groups in genetic research.

The paper characterizes phosphorylated tau fluid biomarker sites in postmortem Alzheimer's disease brains, showing they correspond to earlier neurofibrillary tangle maturity levels.

This study identifies blood-based biomarkers associated with Alzheimer's disease genetic risk variants in a large cohort of healthy adults, showing effects from early adulthood and sex-specific patterns.

The paper identifies SERPINA5 as a novel tau binding partner in Alzheimer's disease by analyzing hippocampal gene expression and neurofibrillary tangles.

This paper develops a blood-based machine learning model to predict cerebral spinal fluid Aβ1-42 levels, showing high accuracy in identifying Alzheimer's disease risk.