Tuesday , August 9 2022

Alzheimer's blood test has been optimized to detect disease before symptoms



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A newly published study details the optimization of a blood test developed from the front for the detection of Alzheimer's disease. Although the original test could detect the presence of the disease successfully before the symptoms started, the accuracy was not high enough and there were too many false positives. By adding a second test to the mix, researchers have been able to improve those two issues.

Professor Biophysics Ruhr-Universität Bochum (RUB), Klaus Gerwert, led a team of researchers who created a simple blood test that could diagnose Alzheimer's disease before the first symptoms appeared. However, according to a new statement, this test resulted in 9 per cent false positive outcomes of the time; it successfully diagnosed 71 per cent of participants.

The team then made the most of the test, forming a two-tier method using the original blood test for the first time, followed by a re-test involving protein tes. , a biker associated with Alzheimer's disease. The second process was initiated if the patient was diagnosed with the blood test at high risk of developing the disease.

Using this two-tier approach, according to the announcement, the team successfully identified 87 of Alzheimer's patients in the study. At the same time, the number of false positive results fell to just 3 out of 100 people.

Diagnosing Alzheimer's before the symptoms appear will allow doctors to start treatment much faster than is currently possible. The study joins an extensive and growing research body focusing on Alzheimer's disease, which threatens to strain the healthcare industry greatly as an increasing number of people live for people. older and develop the disease.

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