Disease Neuroimaging Initiative

The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a large-scale, longitudinal study leveraging multimodal data (MRI, PET, genetics, clinical assessments) to understand Alzheimer's disease progression and improve diagnostic tools. Current research focuses on developing and validating machine learning models, including deep learning architectures like convolutional neural networks and transformers, Bayesian networks, and Siamese networks, to enhance the accuracy and interpretability of AD diagnosis and prediction of disease trajectory from various data modalities. These advancements hold significant promise for earlier and more accurate diagnosis, personalized treatment strategies, and a deeper understanding of the complex mechanisms underlying Alzheimer's disease.