DNA-Based Nanonetwork for Abnormality Detection and Localization in the Human Body

Abstract

This study introduces an innovative DNA-based nanonetwork designed to detect and localize abnormalities within the human body. The concept for the architecture integrates nanosensors, nanocollectors, and a gateway device, facilitating the detection and communication of disease indicators through molecular and intra-body links. Modeling DNA tiles for signal amplification and fusion rules ( AND , OR, MAJORITY ), the system enhances detection accuracy while enabling real-time localization of health anomalies via machine learning models. Extensive simulations demonstrate the efficacy of this approach in the dynamic environment of human vessels, showing promising detection probabilities and minimal false alarms. This research contributes to precision medicine by offering a scalable and efficient method for early disease detection and localization, paving the way for timely interventions and improved healthcare outcomes.