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Lecanemab Extension Study for AD Offers Mixed Results

The lecanemab open-label extension trial for AD showed no new safety signals, but the placebo roll-over group failed to show the gains seen in the experimental arm.

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A new diagnostic model offers hope for Alzheimer's

A new diagnostic model offers hope for Alzheimer's
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Personalized Model Unveils Hidden Patterns in Alzheimer's Progression | Duke University School of Medicine

A new mathematical model offers hope for better prediction and treatment of Alzheimer’s disease. Most mathematical models of Alzheimer’s are theoretical, focusing on short term molecular and cellular-level changes that cannot be measured in patients. However, researchers at Duke University School of Medicine and Pennsylvania State University have used real-world data from over 800 people with varying cognitive abilities, to develop the Alzheimer’s Disease Biomarker Cascade (ADBC) model.

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Computational model uses biomarkers to predict Alzheimer's progression

Computational model uses biomarkers to predict Alzheimer's progression
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Research pioneers AI-based early Alzheimer's detection tool

Research pioneers AI-based early Alzheimer's detection tool
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Predicting Alzheimer's Disease

Predicting Alzheimer's Disease
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Unlocking Alzheimer's secrets by studying neuropsychiatric symptoms

Unlocking Alzheimer's secrets by studying neuropsychiatric symptoms
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AI Predicts, Detects Alzheimer's Disease in New Study

A recent study has employed AI to detect and identify Alzheimer's disease. A recent study conducted by researchers at West Virginia University has unveiled a series of diagnostic metabolic biomarkers, paving the way for the development of artificial intelligence (AI) tools aimed at detecting Alzheimer's disease at its initial stages, as well as identifying risk factors and potential treatment strategies.

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Deep Learning Model Accurately Detects, Predicts Alzheimer's Disease

Deep Learning Model Accurately Detects, Predicts Alzheimer's Disease
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Researchers use AI to predict, detect Alzheimer's disease

Researchers at West Virginia University have identified a set of diagnostic metabolic biomarkers that can help them develop artificial intelligence tools to det

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