Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing

TL;DR

This paper proposes a cooperative nanorobot-based cancer treatment model utilizing team communication and image processing to improve accuracy and efficiency, aiming for a complete cure of cancer.

Contribution

It introduces a novel cooperative treatment framework for nanorobots that combines team communication and computer vision for targeted cancer therapy.

Findings

Enhanced targeting accuracy through image classification

Improved treatment efficiency with cooperative nanorobot queues

Potential for complete cancer cure with the proposed model

Abstract

Although nanorobots have been used as clinical prescriptions for work such as gastroscopy, and even photoacoustic tomography technology has been proposed to control nanorobots to deliver drugs at designated delivery points in real time, and there are cases of eliminating "superbacteria" in blood through nanorobots, most technologies are immature, either with low efficiency or low accuracy, Either it can not be mass produced, so the most effective way to treat cancer diseases at this stage is through chemotherapy and radiotherapy. Patients are suffering and can not be cured. Therefore, this paper proposes an ideal model of a treatment method that can completely cure cancer, a cooperative treatment method based on nano robot queue through team member communication and computer vision image classification (target detection).