A Surveillance System for Early-Stage Diagnosis of Endogenous Diseases by Swarms of Nanobots

Abstract

The architecture of a surveillance system, able to make up for the poor ability of the immune system in recognizing endogeneous diseases (like cancer, arteriosclerotic vascular disease, Alzheimer disease, etc.), is designed. Based on the use of swarms of nanobots communicating with a resident central unit, this architecture can actually be implemented, though at a rudimentary level, with current technologies based on the functionalization of integrated circuits