research-article

Markov Model for the Flow of Nanobots in the Human Circulatory System

Authors:

Jorge Torres Gómez,

Lukas Stratmann,

Falko DresslerAuthors Info & Claims

NANOCOM '21: Proceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication

Article No.: 5, Pages 1 - 7

https://doi.org/10.1145/3477206.3477477

Published: 17 September 2021 Publication History

Abstract

Recent advances in nanotechnology show possible applications of nano-devices within the human body. For example, technical solutions are under development to make use of nanobots to carry and release drugs via the circulatory system. In this scenario, it is important to study the location and the location distribution of nanobots in the human circulatory system (HCS). However, due to bifurcations and the variety of structures in the human vessels, this problem is rather challenging. In this paper, we address a new methodology based on a Markov chain model to study the distribution of nanobots in the HCS. The transition probabilities are assessed through analogies of their representation with an electric circuit representation of the HCS. Additionally, we conducted simulations in the simulation framework BloodVoyagerS to compare results with the provided Markov model. Our evaluation shows that the new model accounts well for the location of the nano-devices as well as their trajectories.

References

[1]

Ian F. Akyildiz, Massimiliano Pierobon, S. Balasubramaniam, and Y. Koucheryavy. 2015. The Internet of Bio-Nano Things. IEEE Communications Magazine (COMMAG) 53, 3 (March 2015), 32--40. https://doi.org/10.1109/MCOM.2015.7060516

Digital Library

[2]

David J Brayden. 2003. Controlled release technologies for drug delivery. Drug Discovery Today 8, 21 (Nov. 2003), 976--978. https://doi.org/10.1016/s1359-6446(03)02874-5

[3]

Youssef Chahibi, Massimiliano Pierobon, Sang Ok Song, and Ian F. Akyildiz. 2013. A Molecular Communication System Model for Particulate Drug Delivery Systems. IEEE Transactions on Biomedical Engineering 60, 12 (Dec. 2013), 3468--3483. https://doi.org/10.1109/tbme.2013.2271503

[4]

Yifan Chen, Panagiotis Kosmas, Putri Santi Anwar, and Limin Huang. 2015. A Touch-Communication Framework for Drug Delivery Based on a Transient Microbot System. IEEE Transactions on NanoBioscience 14, 4 (June 2015), 397--408. https://doi.org/10.1109/tnb.2015.2395539

[5]

Falko Dressler and Stefan Fischer. 2015. Connecting In-Body Nano Communication with Body Area Networks: Challenges and Opportunities of the Internet of Nano Things. Elsevier Nano Communication Networks 6 (June 2015), 29--38. https://doi.org/10.1016/j.nancom.2015.01.006

[6]

Constantine Gatsonis, James S. Hodges, Robert E. Kaas, and Nozer D. Singpur-walla. 2012. Case Studies in Bayesian Statistics. Vol. II. Springer Science & Business Media.

[7]

Regine Geyer, Marc Stelzner, Florian Büther, and Sebastian Ebers. 2018. BloodVoyagerS: Simulation of the Work Environment of Medical Nanobots. In 5th ACM International Conference on Nanoscale Computing and Communication (NANOCOM 2018). ACM, Reykjavík, Iceland, 5:1-5:6. https://doi.org/10.1145/3233188.3233196

Digital Library

[8]

Arthur C. Guyton and Michael. E. Hall. 2015. Guyton and Hall Textbook of Medical Physiology (14 ed.). Elsevier.

[9]

William Hayt, Jack Kemmerly, Jamie Phillips, and Steven Durbin. 2019. Engineering Circuit Analysis (9 ed.). McGraw-Hill Education, New York City, NY.

[10]

Zhe Hu. 2001. HSP. https://de.mathworks.com/matlabcentral/fileexchange/818-hsp

[11]

Sophia L. Kalpazidou. 2006. Cycle Representations of Markov Processes. Springer. https://doi.org/10.1007/0-387-36081-6

[12]

Otilia M. Koo, Israel Rubinstein, and Hayat Onyuksel. 2005. Role of nanotechnology in targeted drug delivery and imaging: a concise review. Nanomedicine: Nanotechnology Biology and Medicine 1, 3 (Sept. 2005), 193--212. https://doi.org/10.1016/j.nano.2005.06.004

[13]

Anke Kuestner, Lukas Stratmann, Regine Wendt, Stefan Fischer, and Falko Dressler. 2020. A Simulation Framework for Connecting In-Body Nano Communication with Out-of-Body Devices. In 7th ACM International Conference on Nanoscale Computing and Communication (NANOCOM 2020). ACM, Virtual Conference. https://doi.org/10.1145/3411295.3411308

Digital Library

[14]

J. MacQueen. 1981. Circuit Processes. The Annals of Probability 9, 4 (Aug. 1981). https://doi.org/10.1214/aop/1176994365

[15]

Tadashi Nakano, Tatsuya Suda, Y. Okaie, M. J. Moore, and A. V. Vasilakos. 2014. Molecular Communication Among Biological Nanomachines: A Layered Architecture and Research Issues. IEEE Transactions on NanoBioscience 13, 3 (Sept. 2014), 169--197. https://doi.org/10.1109/TNB.2014.2316674

[16]

Paul K. Newton, Jeremy Mason, Kelly Bethel, Lyudmila A. Bazhenova, Jorge Nieva, and Peter Kuhn. 2012. A Stochastic Markov Chain Model to Describe Lung Cancer Growth and Metastasis. PLOS ONE 7, 4 (April 2012), e34637. https://doi.org/10.1371/journal.pone.0034637

[17]

Vincent C. Rideout. 1991. Mathematical and Computer Modeling of Physiological Systems. Prentice Hall, Upper Saddle River, NJ.

[18]

Yubing Shi, Patricia Lawford, and Rodney Hose. 2011. Review of Zero-D and 1-D Models of Blood Flow in the Cardiovascular System. BioMedical Engineering OnLine 10, 1 (2011), 33. https://doi.org/10.1186/1475-925x-10-33

[19]

M. F. Snyder and V. C. Rideout. 1969. Computer Simulation Studies of the Venous Circulation. IEEE Transactions on Biomedical Engineering BME-16, 4 (Oct. 1969), 325--334. https://doi.org/10.1109/tbme.1969.4502663

Cited By

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
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

Recommendations

Nanosensor location in the human circulatory system based on electric circuit representation of vessels
NANOCOM '22: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication

Nanotechnologies are advancing precision medicine applications, enhancing the detection and treatment of diseases. Traveling through the human vessels, nanosensors are envisioned to locally detect and actuate on targets very efficiently. In this area, ...
1D-model of the human liver circulatory system
Highlights
- A novel integrated 1D model of the entire liver circulatory system is proposed.
Graphical abstract
▪

Abstract Background and objective
Blood flow rate and pressure can be measured in vivo by invasive and non-invasive techniques in the large vessels of the hepatic vasculature, but it is not possible to do so along the entire liver ...
Fine-tuned Circuit Representation of Human Vessels through Reinforcement Learning: A Novel Digital Twin Approach for Hemodynamics
NANOCOM '23: Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication

The modeling of human vessel hemodynamics targets various benefits in health care applications. Subject-specific models of vessels allow the accurate prediction of pressure and flow, thus, enabling the study of individuals' responses to medical ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

NANOCOM '21: Proceedings of the Eight Annual ACM International Conference on Nanoscale Computing and Communication

September 2021

179 pages

ISBN:9781450387101

DOI:10.1145/3477206

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]

In-Cooperation

SIGARCH: ACM Special Interest Group on Computer Architecture

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 September 2021

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Funding Sources

Project NaBoCom funded by the German Research Foundation (DFG)
Project MAMOKO funded by the German Federal Ministry of Education and Research (BMBF)

Conference

NANOCOM '21

NANOCOM '21: The Eighth Annual ACM International Conference on Nanoscale Computing and Communication

September 7 - 9, 2021

Virtual Event, Italy

Acceptance Rates

NANOCOM '21 Paper Acceptance Rate 13 of 22 submissions, 59%;

Overall Acceptance Rate 97 of 135 submissions, 72%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
111
Total Downloads

Downloads (Last 12 months)36
Downloads (Last 6 weeks)1

Reflects downloads up to 17 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

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
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

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents