Towards Personalized Precision Medicine Using DNA-Based Molecular Communication Networks

Florian Lennert Adrian Lau; Bennet Gerlach; Regine Wendt; Stefan Fischer

Towards Personalized Precision Medicine Using DNA-Based Molecular Communication Networks

Florian Lennert Adrian Lau^*, Bennet Gerlach, Regine Wendt, Stefan Fischer

^*Corresponding author for this work

Institute of Telematics

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
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Cite this

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title = "Towards Personalized Precision Medicine Using DNA-Based Molecular Communication Networks",

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.",

author = "Lau, \{Florian Lennert Adrian\} and Bennet Gerlach and Regine Wendt and Stefan Fischer",

note = "Funding Information: This work has been supported in part by the German Research Foundation (DFG). Publisher Copyright: {\textcopyright} 2022 ACM.",

year = "2022",

month = oct,

day = "5",

language = "Deutsch",

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Towards Personalized Precision Medicine Using DNA-Based Molecular Communication Networks. / Lau, Florian Lennert Adrian ; Gerlach, Bennet ; Wendt, Regine et al.
NANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication. NY, USA, 2022.

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Towards Personalized Precision Medicine Using DNA-Based Molecular Communication Networks

AU - Lau, Florian Lennert Adrian

AU - Gerlach, Bennet

AU - Wendt, Regine

AU - Fischer, Stefan

PY - 2022/10/5

Y1 - 2022/10/5

N2 - 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.

AB - 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.

M3 - Konferenzbeitrag

SN - 978-1-4503-9867-1

BT - NANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication

CY - NY, USA

ER -