A research team at the Icahn School of Medicine has developed a new Artificial Intelligence (AI) platform to detect different neurodegenerative disorders using brain tissue samples. The platform employs machine learning techniques to compute microscopic slides that are prepared using tissue samples. This helps generate a convolutional neural network that could accurately detect neurofibrillary tangles, a characteristic of a range of neurodegenerative diseases, including Alzheimer’s disease and chronic traumatic encephalopathy. This new solution is expected to assist directed biomarkers and therapeutics for accurate diagnosis and outcomes in patients with complex brain disorders.
Reference link: https://www.sciencedaily.com/releases/2019/03/190304134210.htm
