It was created based on data from more than 800 people. Researchers from Duke Medical School and Pennsylvania State University have developed a new mathematical model that can help predict and treat Alzheimer's disease. The model, called the Alzheimer's Disease Biomarker Cascade (ADBC), was developed based on data from more than 800 people with varying cognitive abilities. Discuss
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It is a personalized approach that takes into account each person's biological markers to predict disease progression. The researchers used data from the multinational, longitudinal Alzheimer's Disease Neuroimaging Initiative (ADNI) study to analyze how the disease progresses.
The model analyzes biomarkers such as spinal cord fluid, brain scans, and memory tests to find unique patterns for each person. It combines theory and individual biomarkers to predict the progression of the disease and the effectiveness of treatment in each patient.
Researchers believe that the model opens the door to reconsidering the classification of people with Alzheimer's disease and individualizing treatment.
According to the study, the model can predict future biomarker levels with high accuracy, which is an important step in the fight against this painful disease.