Many senior living residents have Alzheimer’s, and artificial intelligence is an increasingly important tool in both treating and predicting the disease. AI can now use genetic information to assess Alzheimer’s risk in senior living and other patients, new research shows.
A research team led by the Hong Kong University of Science and Technology created an AI model using genetic information to predict patients’ risk of developing Alzheimer’s disease before symptoms occur. The deep learning model the researchers created for European and Chinese populations also could help healthcare researchers in the US.
Using AI, researchers could accurately classify patients with Alzheimer’s and classify them into groups based on disease risks associated with the alteration of various biological processes. The researchers plan to refine the AI model and incorporate it into broader screening methods.
The new development is similar to other recent Alzheimer’s research. Researchers from LSU Health Shreveport used AI to detect the disease and optimize treatment. The team trained a disease progression model to identify and classify illnesses based on images and personalize treatment for Alzheimer’s patients.
Meanwhile, new AI-backed research and tools are helping identify patients with dementia earlier and faster to help slow Alzheimer’s progression. Columbia University’s School of Nursing researchers are creating an AI method that screens seniors for mild cognitive impairment (MCI) and early dementia by analyzing their voices.
Almost one in five people 60 and older in the U.S. are living with MCI, and 10% to 15% of people with MCI will develop Alzheimer’s disease or a related dementia within a year, according to the Alzheimer’s Association.
AI also is being used to improve speech recognition and analysis, which often impacts Alzheimer’s patients. Software company Canary Speech will use Microsoft’s AI technology to expand its machine learning speech models and make AI-backed speech analysis faster.