Smart Tumour Targeting by Reinforcement Learning

2021 IEEE 15th International Conference on Nano/Molecular Medicine & Engineering (NANOMED)(2021)

Cited 0|Views7
No score
Abstract
By drawing stimulating parallels between the optimization and nanobiosensing processes, a novel framework of computational nanobiosensing (CONA) employs nanorobots as computing agents to perform “smart” searching of tumours, greatly improving targeting performance. Optimal routing in the vascular network and learning the biological gradient field (BGF), a peritumoral field triggered by the tumour,...
More
Translated text
Key words
Q-learning,Heuristic algorithms,Markov processes,Routing,Path planning,Robustness,Planning
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined