Summary:
- This article reports on a study that investigated the use of machine learning techniques to analyze brain activity and predict the onset of Alzheimer's disease.
- The researchers used functional magnetic resonance imaging (fMRI) data to train a machine learning model to identify patterns in brain activity that are associated with the early stages of Alzheimer's disease.
- The model was able to accurately predict the onset of Alzheimer's disease up to two years before the clinical diagnosis, which could lead to earlier interventions and better outcomes for patients.