Abstract
One of the biggest problems in modern medicine is diagnosing deviations from an individual norm. Most diagnostic methods rely on comparison with a population average. However, this does not account for personal variations. DNA-based nanonetworks offer an alternative approach. This paper presents a novel DNA-based nanonetwork architecture that measures several individual health parameters and memorizes them. Based on that, the network determines deviations from that norm and communicates them to an external agent.
Original language | German |
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Title of host publication | NANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication |
Place of Publication | NY, USA |
Publication date | 05.10.2022 |
ISBN (Print) | 978-1-4503-9867-1 |
Publication status | Published - 05.10.2022 |