The Creation Of An Alzheimer’s Detection Test

THE U.S. IS in a dementia crisis. According to a recent study published in Nature Medicine, by 2060, diagnoses of cognitive decline are expected to hit a rate of 1 million a year—double what they were in 2020. That’s one of the reasons the FDA’s approval of a new test from local drug company Eli Lilly and Swiss medication company Roche is such a big deal. Developed with help from scientists at the Indiana University School of Medicine, the test, called the Elecsys pTau181, uses blood-based biomarkers to determine the likelihood that someone with dementia symptoms has Alzheimer’s disease or if they’re suffering from another disorder.

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New UCLA AI tool targets Alzheimer’s cases often missed in early diagnosis

Researchers at UCLA are harnessing the power of artificial intelligence to help identify who’s at risk of Alzheimer’s disease.

Scientists are developing an AI tool to detect those cases and reduce disparities in many communities.

Alzheimer’s disease is the sixth leading cause of death in the U.S., and researchers say an early diagnosis is important for many reasons.

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Alzheimer’s Might Not Actually Be a Brain Disease, Reveals Expert

Based on our past 30 years of research, we no longer think of Alzheimer’s as primarily a disease of the brain. Rather, we believe that Alzheimer’s is principally a disorder of the immune system within the brain.

The immune system, found in every organ in the body, is a collection of cells and molecules that work in harmony to help repair injuries and protect from foreign invaders.

When a person trips and falls, the immune system helps to mend the damaged tissues. When someone experiences a viral or bacterial infection, the immune system helps in the fight against these microbial invaders.

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What Our Body Clocks May Say About Our Alzheimer’s Risk

Our circadian rhythms, the internal body clock that determines when we are most active and alert and when we wind down and go to sleep during a typical 24-hour day, may play a role in our risk of dementia, according to a new report. The study found that people with less regular circadian rhythms, as well as those whose activity levels peaked later in the afternoon, were at increased risk of developing Alzheimer’s disease and other forms of dementia.

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Early prediction of Alzheimer’s disease using longitudinal electronic health records of US military veterans

This study explored whether early signs of Alzheimer’s disease could be detected in routine medical records. We analyzed the health records of over 295,000 people from the U.S. Veterans Health Administration. We focused on words in doctors’ notes that reflect a wide range of early symptoms, including changes in memory, speech, cognition, mood, physical functioning, and daily activity needs. These signs appeared more frequently and increased more rapidly in people who were later diagnosed with Alzheimer’s. A computer model built on these words was able to predict who might develop the disease years in advance. These findings suggest that ordinary clinical notes could help doctors notice early warning signs of Alzheimer’s and support earlier care and planning.

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