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 |
|---|---|
| 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 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
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SDG 9 – Industrie, Innovation und Infrastruktur
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SDG 11 – Nachhaltige Städte und Gemeinschaften
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SDG 12 – Verantwortungsvoller Konsum und Produktion
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