USA TODAY US Edition

IBM studies language to predict Alzheimer’s

- Ken Alltucker

The study 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.

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. The study appeared Thursday in the journal E Clinical Medicine.

The study is the latest in an emerging research field focusing on early detection of Alzheimer’s disease, the memory-robbing disease that afflicts about 5.8 million Americans.

Many researcher­s are working to develop and study 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 shows 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 study 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. Study participan­ts were shown a cookiethef­t picture and asked to write a descriptio­n.

The samples were collected when study participan­ts showed no signs of memory loss. The study predicted Alzheimer’s disease an average of 7.6 years before participan­ts were diagnosed.

Based on written samples from 80 participan­ts, the study more accurately predicted Alzheimer’s than other methods such as evaluating a genetic susceptibi­lity gene, demographi­cs or psychologi­cal tests, the study said.

Risk factors found in language can include repeating questions, stories and statements, the study said. The study also cited agraphia, or loss of the ability to write, which can lead to errors or less complex language.

Royyuru said tracking language patterns over time could be done as part of a routine physical or behavioral health exam.

“That is not in normal clinical practice today,” Royyuru said. “The technology allows us to think about this as something that would be possible.”

Dr. Oscar Lopez, a professor of neurology and psychiatry and director of the University of Pittsburgh’s Alzheimer’s Disease Research Center, said the challenge in using a language test is developing reliable data from prospectiv­e studies that track patients over decades.

Alzheimer’s researcher­s instead are increasing­ly studying blood tests that measure biomarkers such as the protein tau as a way to detect early signs of the disease.

Scientists can track tau and amyloid proteins that accumulate as plaques and tangles in the brains of Alzheimer’s patients. But doctors must use invasive and expensive brain scans and spinal taps that measure spinal fluid to detect these biomarkers. Insurance does not always cover those tests.

In July, researcher­s published a study on a blood test that could identify Alzheimer’s and even detected signs of disease 20 years before cognitive problems were expected in a group of people who carry a rare genetic mutation.

“Blood tests are going to be the future, but we’re still not there,” Lopez said.

Drug companies for years have made drugs targeting brain amyloid plaques as potential treatments for the disease. However, clinical studies often enrolled patients who already had signs of memory decline, leading some researcher­s to theorize the experiment­al drugs were administer­ed too late.

Drug companies are pursuing prevention studies that seek to discover whether administer­ing drugs to people who are susceptibl­e but have not yet developed memory or thinking problems might be a way to slow the disease.

 ?? LIGHTFIELD­STUDIOS/GETTY IMAGES ?? IBM’s study, using a computeriz­ed model to analyze language patterns, accurately predicted up to 74% of participan­ts diagnosed with Alzheimer’s disease later in life.
LIGHTFIELD­STUDIOS/GETTY IMAGES IBM’s study, using a computeriz­ed model to analyze language patterns, accurately predicted up to 74% of participan­ts diagnosed with Alzheimer’s disease later in life.

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