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Tracing Alzheimer’s Genetic Footprints: A Pioneering Longitudinal Study Using Artificial Intelligence to Unravel Mutation- Driven Risks and Progression in Virtual Patients; Part 1 – The APOE genotypes

2024-04-03

Abstract excerpt

Alzheimer’s Disease (AD), the most common neurodegenerative disorder, presents a significant challenge for early detection and intervention due to its complex etiology involving genetic, environmental, and lifestyle factors. This study harnesses the innovative potential of artificial intelligence (AI) through the aiHumanoid platform to simulate AD progression. In this study, we focus on the impact of two APOE geno...

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Literature Corpus work: 04879fc0-ec2f-5f04-b90d-77bf24632ee2
DOI: 10.1101/2024.04.02.24305206

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