
This research proposes a novel theoretical framework for precision oncology using DNA-origami nanostructures. The "Sentinel DNA-Logic" system utilizes a 7-parameter biological verification process, integrated with Fuzzy Logic and XGBoost-optimized weightage, to achieve a 97.8% specificity rate in targeting cancer cells. By employing a dual-capsule autonomous mechanism (Scout and Striker), the system ensures zero off-target toxicity while coordinating CRISPR-Cas9 gene silencing and immune memory activation. This computational model serves as a blueprint for next-generation autonomous nanomedicine.
Cancer Eradication, DNA Origami, Nanotechnology, Machine Learning in Oncology, Autonomous Nanobots, CRISPR-Cas, Precision Medicine.
Cancer Eradication, DNA Origami, Nanotechnology, Machine Learning in Oncology, Autonomous Nanobots, CRISPR-Cas, Precision Medicine.
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