Explores the intersection of oncology, complexity science, and computational modeling to redefine cancer as a multifaceted dynamic system. Researchers utilize metaphysical concepts like essence and ground alongside mathematical frameworks to analyze how cancer exhibits computational intelligence and symmetry-breaking properties. The sources emphasize the necessity of multiscale modeling, ranging from atomic-level molecular dynamics to high-level simulations of tumor growth and immune system interactions. There is a significant focus on precision medicine, where artificial intelligence and algorithmic analysis help optimize drug delivery via nanoparticles and predict treatment resistance. Additionally, the text highlights the importance of longitudinal monitoring to track immune system fluctuations and evolutionary changes within the tumor microenvironment. Ultimately, these diverse computational strategies aim to move beyond traditional therapies toward personalized, data-driven clinical interventions.
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