Diagnose and Classification of Infectious and Diseases using Nano Sensors Network in Nanofluids: Theoretical and Modeling Study

Abstract

There is a real need for a NanoSensor Network to detect infectious, especially incurable diseases today, to distinguish the chemical and behavioral properties of incurable diseases from the behavioral properties of other particles. The proposed nanonetworks are designed to help doctors to diagnose infectious and incurable diseases. Nanofluidics can also increase mass and heat transfer through various media to repair or damage cells, human organs, and tissues based on various technologies such as magnetic hyperthermia treatment or active coatings. For all these reasons, there is a real need for a nano-sensor network for nanofluid environment, for nanomedicine and biomedicine. This work is on the implantation of a nanosensors network in nanofluids: classifications and application in nanomedicine and biomedicine. In the evaluation and analysis phase, we have integrated a comparison with similar works, the limitation of the solution, and we have proposed an algorithm and a model that are used to ensure precision and reliability in the diagnosis of our solution using current technologies. To summarize, this work proposes nanosensor network platforms to help doctors diagnose diseases such as cancer and diabetic patients.