Through this exercise, we gained key insights into how propagating systems can improve patient care management, particularly with the FlagShip framework. FlagShip applies the principles of Uniqueness and Many Eyes to propagate 30 agents through time, enabling us to observe treatment outcomes. With MindsDB assigning precision care and Strawberry projecting outcomes, we can evaluate treatment effectiveness with high accuracy. The Principle of Uniqueness suggests that spatial points can be arranged in any configuration as long as each remains unique. Using this, we reduced our problem to a 90-vertex hypercube. MindsDB set the initial states, while Strawberry projected them to the final state across the vertices. This allowed us to simplify complex scenarios while maintaining the agents' unique characteristics. The Principle of Many Eyes asserts that knowing one aspect of a system allows insight into the entire system, thanks to symmetries in MD-space. Unlike traditional functions, which have one input and output, MD-systems generate multiple outputs from a single input. This enabled us to predict all 30 agents' outcomes simultaneously, making the care projection more efficient. As a result, Strawberry reliably indicated treatment effectiveness. In cases where the treatment was predicted to fail due to medication intolerance, this insight helped physicians avoid ineffective therapies and explore better alternatives or focus on improving the patient’s quality of life through traditional means. Conversely, when treatments were predicted to succeed, they could be confidently applied, ensuring favorable outcomes. This approach not only improves patient care but also reduces unnecessary costs from ineffective treatments. By using FlagShip’s predictive systems, we are advancing more personalized, cost-effective, and precise healthcare strategies.
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