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.
Originalsprache | Deutsch |
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Titel | NANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication |
Erscheinungsort | NY, USA |
Erscheinungsdatum | 05.10.2022 |
ISBN (Print) | 978-1-4503-9867-1 |
Publikationsstatus | Veröffentlicht - 05.10.2022 |