Beyond Images : Seeing the unseen for early detection of Alzheimer's Disease

Utilizing the outputs of the MRI-imaging model and CSF sample model, we estimated approximately when a patient may enter stages of Low and Moderate ADNC, potentially helping reveal the otherwise 'missed period of intervention'. This could result in faster treatments for patients still in a treatable phase of their disease, and provide a model for understanding disease progression overtime. Finally, computing a salience map we can potentially determine plaque, NFT, and other biomarkers' locations, enabling higher treatment accuracy, thus more 'personalized' treatment for patients.