Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing
This is an incremental proposal for cancer patients, aiming to improve treatment outcomes over current methods like chemotherapy and radiotherapy.
The paper proposes a cooperative treatment model using nanorobot queues with team member communication and computer vision image classification to completely cure cancer, addressing inefficiencies and inaccuracies in existing nanorobot technologies.
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).