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An interesting application of the prospective technology called Internet of Bio-Nano Things (IoBNT) is in the territory of the medicine. It's expected that this technology plays the role as tool of surveillance of the functionalities of the human organs. To accomplish that, the deployment of nanodevices very near to organs should be a must. However, the idea to deploy nanodevices should be sustained...
The human kidney can be seriously threated in the cases where the presence of bunches of electric charges may cancel its electric shield that plays the protectionist role against the pass of giant proteins through the urine. In this paper we use simple physics equations in order to extract the electric field which exerts force on the negative charge distribution located along the glomerular membrane...
In this paper, the Quality of Service (QoS) for a concrete network based in the prospective idea of the Internet of Bio-Nano Things (IoBNT) is estimated. We use the well-known mathematical convolution for the segments of the network. This methodology is applied using the simple definition of efficiency per segment. The first segment assumes the communication between nanosensor and intra-body device,...
Once the Internet of Bio-Nano Things (IoBNT) is already running, one important aspect that must be established is the estimation of parameters of the quality of service (QoS). From the view of the end-user, QoS should be high enough in order to guarantee an excellent applicability of the IoBNT, in particular when humans are part of the network and where efficient techniques of nanomedicine are foresen...
By assuming that the dipole moment of glucose might be high enough to cancel the negative charges of glomerulus, we estimate the efficiency of the sensing of negatively charged albumin proteins as well as the Tamm-Horsfall's proteins (THP). The knowledge of the charge distributions in time of both albumin and THP would denote an advantage since the efficient sensing of albumin might be perceived as...
In this paper, we explore the prospects of applicability for the sensing of proteins inside the framework of the IoB NT [1] for anticipating the diabetes kidney disease (DKD), from the identification of negatively charged proteins of albumin which are already passing the glomerular layers located in the kidney. The expected high efficiency of the interfaces between the biochemical domains and the...
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