A Nano-biosensors model with optimized bio-cyber communication system based on Internet of Bio-Nano Things for thrombosi
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RESEARCH PAPER
A Nano-biosensors model with optimized bio-cyber communication system based on Internet of Bio-Nano Things for thrombosis prediction H. Fouad & Mohamed Hashem & Ahmed E. Youssef
Received: 5 April 2020 / Accepted: 2 June 2020 # Springer Nature B.V. 2020
Abstract Thrombosis is one of the leading causes of death worldwide. Out of four, one person is dying of thrombosis; yet, the seriousness of this disease is underappreciated. Its early prediction and prevention continue to be a dilemma that confuses researchers. Nevertheless, a light can be seen at the end of the tunnel; thanks to nanoscience which has led to the development of new generations of nanostructure with different applications in bio-medicine and bio-engineering. The key paradigm for the Internet of Nano Things (IoNT) has allowed for new medical data to be collected which potentially helps
This article is part of the topical collection: Role of Nanotechnology and Internet of Things in Healthcare Guest Editors: Florian Heberle, Steve bull and John Fitzgerald H. Fouad Applied Medical Science Department, Community College, King Saud University, Riyadh, Saudi Arabia H. Fouad (*) Department of Biomedical Engineering, Faculty of Engineering, Helwan University, Helwan, Egypt e-mail: [email protected] M. Hashem Dental Health Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia A. E. Youssef College of Computer and Information Science, King Saud University, Riyadh, Saudi Arabia A. E. Youssef Department of Computers and Systems Engineering, Helwan University, Cairo, Egypt
achieve more accurate disease prediction. It has enabled real-time health services and turned the physical space of a patient into a smart space. While an enabler for several applications, the artificial nature of Internet of Nano Things devices can be harmful where the implementation of Nano Things may lead to unintended health effects. To overcome this issue, researchers have suggested the novel paradigm of the IoBNT that combines nanotechnology with tools from synthetic biology to provide reengineering of biological embedded computing devices. IoBNT promises many medical applications, such as intra-body sensing and actuation networks, based on biological cells and their characteristics in the biochemical field. In this paper, a novel IoBNT-based model with an optimized Bio-Cyber communication interface that helps predict and analyze blood vessel clots is introduced. The model utilizes a biointerface to collect information on the blood vessels and convert it into an electrical equivalent format. Furthermore, the optical or thermal responsiveness excites the release of definite nano-carrier molecules such as liposomes which may be devised across the bloodstream and enter the targeted area passively to stimulate suitable nano-devices to predict the clots. The Bio-Cyber interface is used for linking the traditional electromagnetic wave to the Bio-Signaling Network based on the bioluminescence concept. Lab-scale simulation analysis shows pro
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