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We argue that current views, dominated by the amyloid-beta hypothesis, oversimplify the complexity of brain degeneration. We propose a multi-scale, multi-entity approach, treating the brain as a complex system composed of interacting subsystems across various scales, from the nanoscale (genes and proteins) to the macroscale (cognition) and beyond. By redefining brain health through mathematical complexity, we emphasize the importance of integrating diverse biological, environmental, and lifestyle factors to account for the heterogeneity in AD presentations. This framework suggests that failures at different levels of brain function can lead to cascading effects that influence neurodegenerative trajectories. Additionally, it calls for a shift toward personalized treatment approaches that target multiple yet specific pathological mechanisms affecting an individual. We propose computational models as essential tools for simulating and testing these complex interactions. 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