Genomics & AI:

We combine large-scale genomic data with artificial intelligence (AI) to identify genetic variants linked to Alzheimer's disease. By using machine learning techniques, we can analyze vast datasets to find key genetic markers, helping us identify individuals at higher risk more accurately.

Neuroimaging & AI:

Combining brain imaging technologies like PET and MRI with AI allows us to detect early changes in the brain associated with Alzheimer's. This approach helps identify signs of the disease before symptoms appear, enabling timely interventions.

Metabolomics & AI:

By analyzing metabolites in blood and other fluids, we can track biochemical changes as Alzheimer's progresses. Using AI, we can predict the disease's progression and customize treatment strategies even before cognitive decline begins.

Precision Medicine:

By integrating genomics, neuroimaging, and metabolomics with AI, we can develop more precise predictions of disease progression. This personalized approach tailors treatments to individual patients, improving early detection and care.