Smart Tumour Targeting by Reinforcement Learning

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

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摘要
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,...
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关键词
Q-learning,Heuristic algorithms,Markov processes,Routing,Path planning,Robustness,Planning
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