research-article

A Machine Learning Approach for Abnormality Detection in Blood Vessels via Mobile Nanosensors

Authors:

Jorge Torres Gómez,

Jennifer Simonjan,

Bige Deniz Unluturk,

Falko DresslerAuthors Info & Claims

SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

Pages 596 - 602

https://doi.org/10.1145/3485730.3494037

Published: 15 November 2021 Publication History

Abstract

Early detection of diseases in the human body is of utmost importance for the diagnosis and medical treatment of patients. Supported by recent advancements in nanotechnology, diseases may be detected by patrolling nanosensors, even before symptoms appear. This paper explores the detection capabilities of nanosensors flowing through the human circulatory system (HCS). We model the HCS through a Markov chain and propose the use of machine learning (ML) methods to learn the corresponding transition probabilities. Doing so, we propose a methodology to develop an early detection mechanism of quorum sensing (QS) molecules released by bacteria. Simulation results indicate the suitability of our machine learning approach as a basis for in-body precision medicine.

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Cited By

Gómez JUnluturk BLau FSimonjan JWendt RFischer SDressler F(2024)DNA-Based Nanonetwork for Abnormality Detection and Localization in the Human BodyIEEE Transactions on Nanotechnology10.1109/TNANO.2024.349554123(794-808)Online publication date: 2024
https://doi.org/10.1109/TNANO.2024.3495541
Koca CAkan O(2023)A Fast Simulation Algorithm for Molecular Dispersion and Binding in Molecular CommunicationsProceedings of the 10th ACM International Conference on Nanoscale Computing and Communication10.1145/3576781.3608714(78-84)Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1145/3576781.3608714
Torres Gómez JAngjo JDressler F(2023)Age-of-Information-Based Performance of Ultrasonic Communication Channels for Nanosensor-to-Gateway CommunicationIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2023.32734529:2(112-123)Online publication date: Jun-2023
https://doi.org/10.1109/TMBMC.2023.3273452
Show More Cited By

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A Machine Learning Approach for Abnormality Detection in Blood Vessels via Mobile Nanosensors

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cover image ACM Conferences

SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

November 2021

686 pages

ISBN:9781450390972

DOI:10.1145/3485730

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 November 2021

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Research-article
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NaBoCom, German Research Foundation (DFG)
MAMOKO, German Federal Ministry of Education and Research (BMBF)

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SenSys '21

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SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems

November 15 - 17, 2021

Coimbra, Portugal

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SenSys '21 Paper Acceptance Rate 25 of 139 submissions, 18%;

Overall Acceptance Rate 198 of 990 submissions, 20%

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Cited By

Gómez JUnluturk BLau FSimonjan JWendt RFischer SDressler F(2024)DNA-Based Nanonetwork for Abnormality Detection and Localization in the Human BodyIEEE Transactions on Nanotechnology10.1109/TNANO.2024.349554123(794-808)Online publication date: 2024
https://doi.org/10.1109/TNANO.2024.3495541
Koca CAkan O(2023)A Fast Simulation Algorithm for Molecular Dispersion and Binding in Molecular CommunicationsProceedings of the 10th ACM International Conference on Nanoscale Computing and Communication10.1145/3576781.3608714(78-84)Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1145/3576781.3608714
Torres Gómez JAngjo JDressler F(2023)Age-of-Information-Based Performance of Ultrasonic Communication Channels for Nanosensor-to-Gateway CommunicationIEEE Transactions on Molecular, Biological and Multi-Scale Communications10.1109/TMBMC.2023.32734529:2(112-123)Online publication date: Jun-2023
https://doi.org/10.1109/TMBMC.2023.3273452
Etemadi AFarahnak-Ghazani MArjmandi HMirmohseni MNasiri-Kenari M(2023)Abnormality Detection and Localization Schemes Using Molecular Communication Systems: A SurveyIEEE Access10.1109/ACCESS.2022.322861811(1761-1792)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2022.3228618
Gomez JKuestner ASimonjan JUnluturk BDressler F(2022)Nanosensor Location Estimation in the Human Circulatory System Using Machine LearningIEEE Transactions on Nanotechnology10.1109/TNANO.2022.321765321(663-673)Online publication date: 2022
https://doi.org/10.1109/TNANO.2022.3217653

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