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Thesis . 2026
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2026
License: CC BY
Data sources: Datacite
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Sentinel DNA-Logic Framework: An Autonomous Dual-Capsule Nanobiological System for Ultra-Precise Cancer Cell Eradication

Authors: Sayon, Pantho biswas;

Sentinel DNA-Logic Framework: An Autonomous Dual-Capsule Nanobiological System for Ultra-Precise Cancer Cell Eradication

Abstract

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.

Keywords

Cancer Eradication, DNA Origami, Nanotechnology, Machine Learning in Oncology, Autonomous Nanobots, CRISPR-Cas, Precision Medicine.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research
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