AI Detects In Your Language Early Sign Of Alzheimer’s Disease
An artificial intelligence program analyzing language predicted whether people with no memory or thinking problems would develop Alzheimer’s disease later in life, researchers said. The study by IBM, funded by drug giant Pfizer, found a computerized model analyzing language patterns accurately predicted up to 74% of participants diagnosed with Alzheimer’s disease later in life. Early detection of Alzheimer’s disease is crucial, as the memory-robbing disease afflicts about 5.8 million Americans.
Many researchers are working to develop blood tests to detect Alzheimer’s before memory and thinking problems occur. Blood tests can potentially be more precise than memory and cognitive tests now used to diagnose the disease. The tests also could be a less expensive way to conduct clinical studies.
IBM officials say their study of language patterns show another possible tool for early detection of Alzheimer’s disease and other forms of dementia. Ajay Royyuru, IBM’s vice president of health care and life sciences research, said IBM‘s research efforts to track language shows the potential for a noninvasive test that “presents a better window for targeted interventions.”
The research analyzed more than 700 written samples from 270 participants in the decades-old Framingham Heart Study, which has collected detailed medical histories, physical exams and lab tests from thousands of participants. Participants were shown a cookie-theft picture and asked to write a description of the image. The samples were collected when participants showed no signs of memory loss. The datas predicted Alzheimer’s disease an average of 7.6 years before participants were diagnosed.
The findings are reported in the journal EClinicalMedicine.