Thakker, Shivam, Patel, Dhaval K, Joshi, Kathan S and Lopez-Benitez, Miguel 
ORCID: 0000-0003-0526-6687
(2022)
Modelling the Impact of Multiple Pro-inflammatory Cytokines Using Molecular Communication.
In: 2022 National Conference on Communications (NCC), 2022-5-24 - 2022-5-27.
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Abstract
Motivated by various health care applications and many other novel fields of Molecular Communication (MC), it has become an important field of research since the last decade. This paper proposes a molecular communication-based model for the spread of the SARS-CoV2 virus in the human body. The virus uses the ACE2 receptor as a gateway to enter the blood vessels, organs and then replicate itself. In response to the infection, the immune system synthesizes pro-inflammatory cytokines such as IL6, IL2, and TNFa. This active bodily response may be further compromised by the generation of anti-inflammatory cytokines such as IL4 and IL10. We also propose a mathematical model using a Markov state transition for a flow-based molecular communication system which contributes to the detection of these pro-inflammatory cytokines level and gives a further inference about the infection in the body by taking multiple cytokines into account.
| Item Type: | Conference or Workshop Item (Unspecified) |
|---|---|
| Uncontrolled Keywords: | Flow-Based Molecular Communication System, Multiple Cytokines, Markov State Transition Model, COVID-19, Disease Detection, Cytokine Storm |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 18 May 2022 14:57 |
| Last Modified: | 15 Mar 2024 06:08 |
| DOI: | 10.1109/NCC55593.2022.9806804 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3155066 |
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