Edit Review: Title: AI genetics for Alzheimer's disease prediction.
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Alzheimer's disease (AD) affects millions of people worldwide and is the most common cause of dementia in older adults. The disease has a strong genetic component, with studies identifying numerous genetic variants that can increase or decrease the risk of developing AD. Traditional genetic-based methods for predicting AD risk have limited accuracy because the disease involves complex interactions between multiple genes and environmental factors. Artificial intelligence (AI) and machine learning offer new ways to analyze large amounts of genetic data and find patterns that have not been identified before. These AI systems can process genetic information from thousands of individuals to identify combinations of genetic markers that predict AD risk more accurately than single gene tests. Early prediction of AD is crucial as it can help practitioners to start treatments sooner and help patients in time. Recent advances in AI have made it possible to combine genetic data with other types of information like brain scans and cognitive test results to improve prediction accuracy.
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