The analysis of large-scale datasets, including genetic data, clinical data, imaging data, and digital biomarkers, using advanced computational techniques such as machine learning and artificial intelligence, holds promise for uncovering new insights into AD and predicting disease progression. Collaborative initiatives such as the AD Neuroimaging Initiative (ADNI) and the Global Alzheimer's Association Interactive Network (GAAIN) facilitate data sharing and collaboration among researchers worldwide.