A Nano-biosensors model with optimized bio-cyber communication system based on Internet of Bio-Nano Things for thrombosis prediction


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 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 bio-interface 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 prominent outcomes in the prediction of blood vessel clots with 97.66% accuracy and 12.22% tolerance level in error rate.

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  1. Abd El-atty SM, Bidar R, El-Rabaie ESM (2020) MolCom system with downlink/uplink biocyber interface for Internet of Bio-NanoThings. Int J Commun Syst 33(1):e4171

    Article  Google Scholar 

  2. Ahopelto J, Ardila G, Baldi L, Balestra F, Belot D, Fagas G et al (2019) NanoElectronics roadmap for Europe: from nanodevices and innovative materials to system integration. Solid State Electron 155:7–19

    CAS  Article  Google Scholar 

  3. Akyildiz IF, Chen J, Ghovanloo M, Guler U, Ozkaya-Ahmadov T, Pierobon M, Sarioglu AF, Unluturk BD (2019) Microbiome-gut-brain axis as a biomolecular communication network for the Internet of Bio-NanoThings. IEEE Access 7:136161–136175

    Article  Google Scholar 

  4. Akyildiz IF, Pierobon M, Balasubramaniam S, Koucheryavy Y (2015a) The internet of bio-nano things. IEEE Commun Mag 53(3):32–40

    Article  Google Scholar 

  5. Akyildiz IF, Pierobon M, Balasubramaniam S, Koucheryavy Y (2015b) The internet of bio-nano things. IEEE Commun Mag 53(3):32–40

    Article  Google Scholar 

  6. Albokai NAN, Liu L, Alragawi A, Albokai A (2019) Improving the quality of healthcare by using information technology system in the hospitals of Yemen. Open Journal of Business and Management 7(02):728–754

    Article  Google Scholar 

  7. Alsiddiky A, Awwad W, Bakarman K, Fouad H, Mahmoud N (2020) Magnetic resonance imaging evaluation of vertebral tumor prediction using hierarchical hidden Markov random field model on Internet of Medical Things (IOMT) platform. Measurement 159:107772

    Article  Google Scholar 

  8. Al-Turjman F (2019) A rational data delivery framework for disaster-inspired internet of nano-things (IoNT) in practice. Clust Comput 22(1):1751–1763

    Article  Google Scholar 

  9. Bakhshi T, & Shahid S (2019) Securing internet of bio-Nano things: ML-enabled parameter profiling of bio-cyber interfaces. In 2019 22nd International Multitopic Conference (INMIC) (pp. 1-8). IEEE

  10. Baskar S, Shakeel PM, Kumar R, Burhanuddin MA, Sampath R (2020) A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart healthcare applications. Comput Commun 149:17–26

    Article  Google Scholar 

  11. Brous P, Janssen M, Herder P (2020) The dual effects of the Internet of Things (IoT): a systematic review of the benefits and risks of IoT adoption by organizations. Int J Inf Manag 51:101952

    Article  Google Scholar 

  12. Cohen AT, Agnelli G, Anderson FA, Arcelus JI, Bergqvist D, Brecht JG et al (2007) Venous thromboembolism (VTE) in Europe. Thromb Haemost 98(10):756–764

    CAS  Article  Google Scholar 

  13. Ding M, Chen G, Xu W, Jia C, & Luo H (2019) Bio-inspired synthesis of nanomaterials and smart structures for electrochemical energy storage and conversion. Nano Materials Science

  14. Fouad H, Hassanein A, Soliman A, Al-Feel H (2020a) Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction. Measurement 159:107757

    Article  Google Scholar 

  15. Fouad H, Hassanein A, Soliman A, Al-Feel H (2020b) Internet of Medical Things (IoMT) assisted vertebral tumor prediction using heuristic hock transformation based Gautschi model–a numerical approach. IEEE Access 8:17299–17309

    Article  Google Scholar 

  16. Fouad H, Mahmoud N, Issawi M, Al-Feel H (2020c) Distributed and scalable computing framework for improving request processing of wearable IoT assisted medical sensors on pervasive computing system. Comput Commun 151:257–265

    Article  Google Scholar 

  17. Fouad H, Soliman A, Hassanein A, Al-Feel H (2020d) Prediction and diagnosis of vertebral tumors on the Internet of Medical Things Platform using geometric rough propagation neural network. Neural Comput & Applic

  18. Freimer NB, Mohr DC (2019) Integrating behavioural health tracking in human genetics research. Nat Rev Genet 20(3):129–130

    CAS  Article  Google Scholar 

  19. Griffith MJ, Holmes NP, Elkington DC, Cottam S, Stamenkovic J, Kilcoyne AD, Andersen TR (2019) Manipulating nanoscale structure to control functionality in printed organic photovoltaic, transistor and bioelectronic devices. Nanotechnology 31(9):092002

    Article  Google Scholar 

  20. Haselmayr W, Springer A, Fischer G, Alexiou C, Boche H, Hoeher PA, Schober R (2019) Integration of molecular communications into future generation wireless networks, 1st 6G Wireless Summit. IEEE, Levi

    Google Scholar 

  21. Heit JA, Cohen AT, Anderson Jr FA, & VTE Impact Assessment Group. (2005) Estimated annual number of incident and recurrent, non-fatal and fatal venous thromboembolism (VTE) events in the US

  22. Jarva E (2019) Health care professionals' attitudes and acceptance towards and experiences of digital health (eHealth) services

  23. Jha AK, Larizgoitia I, Audera-Lopez C, Prasopa-Plaizier N, Waters H, Bates DW (2013) The global burden of unsafe medical care: analytic modelling of observational studies. BMJ Qual Saf 22(10):809–815

    Article  Google Scholar 

  24. Kevane B, Day M, Bannon N, Lawler L, Breslin T, Andrews C et al (2019) Venous thromboembolism incidence in the Ireland east hospital group: a retrospective 22-month observational study. BMJ Open 9(6):e030059

    Article  Google Scholar 

  25. Khan T, Civas M, Cetinkaya O, Abbasi NA, & Akan OB (2020) Nanosensor networks for smart health care. In Nanosensors for Smart Cities (pp. 387-403). Elsevier

  26. Leavitt MO (2009) Surgeon General's call to action to prevent deep vein thrombosis and pulmonary embolism. DIANE Publishing

  27. Liza FA, Hasan M, Islam N, Paul T (2019) Investigation and performance analysis of Nanoscale communication network for biomedical application. Doctoral dissertation, Brac University

    Google Scholar 

  28. Mahmoud N, Fouad H, Alsadon O, Soliman A (2020) Detecting dental problem related brain disease using intelligent bacterial optimized associative deep neural network. Clust Comput

  29. Miraz MH, Ali M, Excell PS, Picking R (2018) Internet of Nano-Things, things and everything: future growth trends. Future Internet 10(8):68

    Article  Google Scholar 

  30. Mukherjee A, Bhattacharya J, & Moulick RG (2020) Nanodevices: the future of medical diagnostics. In NanoBioMedicine (pp. 371–388). Springer, Singapore

  31. Nurain N, Talukder BMSB, Choudhury T, Tairin S, Ferdousi M, Naznin M, Al Islam AA (2019) Exploring network-level performances of wireless nanonetworks utilizing gains of different types of nano-antennas with different materials. Wirel Netw 25(5):2651–2664

    Article  Google Scholar 

  32. Patel M, Ali M, Krishnan S, Agrawal V, Al Kheraif A, Fouad H, Ansari Z, Ansari S, Malhotra B (2015) A label-free photoluminescence Genosensor using nanostructured magnesium oxide for cholera detection. Sci Rep 5(1)

  33. Rathee DS, Ahuja K, & Hailu T (2019) Role of electronics devices for E-health in smart cities. In Driving the Development, Management, and Sustainability of Cognitive Cities (pp. 212-233). IGI Global

  34. Sarker SH (2019) Holistic health improvement using the Internet of Bio-Nano Things based treatment

  35. Shakeel PM, Baskar S, Dhulipala VS, Jaber MM (2018) Cloud based framework for diagnosis of diabetes mellitus using K-means clustering. Health information science and systems 6(1):16

    Article  Google Scholar 

  36. Tavella F, Giaretta A, Dooley-Cullinane TM, Conti M, Coffey L, & Balasubramaniam S (2019). DNA molecular storage system: transferring digitally encoded information through bacterial nanonetworks. IEEE Transactions on Emerging Topics in Computing

  37. Tsave, O., Kavakiotis, I., Kantelis, K., Mavridopoulos, S., Nicopolitidis, P., Papadimitriou, G., & Salifoglou, A. (2019) The anatomy of bacteria-inspired nanonetworks: molecular nanomachines in message dissemination. Nano Communication Networks

  38. Umar A, Singh K, Mehta S, Fouad H, Alothman O (2018) Highly sensitive enzyme-less glucose biosensor based on α-Fe2O3 nanoparticles. Nanosci Nanotechnol Lett 10(3):429–434

    Article  Google Scholar 

  39. Yang, K., Bi, D., Deng, Y., Zhang, R., Rahman, M., Ali, N. A., ... & Alomainy, A. (2019a) A comprehensive survey on hybrid communication for Internet of Nano-Things in context of body-centric Communications. arXiv preprint arXiv:1912.09424

  40. Yang K, Zhang R, Abbasi QH, Alomainy A (2019b) Channel modeling for nanoscale communications and networking. Nanoscale Networking and Communications Handbook 71

  41. Zahra R, Mohammad C (2020) Alleviating the routing issues of Internet of Nano Things by a simple, lightweight and generic (SLG) routing protocol, 9(2):345–359

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The Deanship of Scientific Research at King Saud University provided funding for this research group (No. RGP-1435-052).

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Correspondence to H. Fouad.

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This article is part of the topical collection: Role of Nanotechnology and Internet of Things in Healthcare

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Fouad, H., Hashem, M. & Youssef, A.E. A Nano-biosensors model with optimized bio-cyber communication system based on Internet of Bio-Nano Things for thrombosis prediction. J Nanopart Res 22, 177 (2020). https://doi.org/10.1007/s11051-020-04905-8

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  • Biosensor
  • Nanotechnology
  • Thrombosis
  • Blood vessel clots
  • Internet of Bio-Nano Things (IoBNT)
  • Internet of Nano Things (IoNT)