Performance Analysis of an Artificial Intelligence Nanosystem with Biological Internet of Nano Things

Artificial intelligence (AI) has recently been used in nanomedical applications, which implanted intelligent nanosystems inside the human body were to diagnose and treat a variety of ailments with help Internet biological Nano Things (IoBNT). Biological circuit engineering or nanomaterial-based architectures can be approach nanosystem. In blood vascular medium serves as communication channel, demonstrating molecular system based on flow diffusion. This paper presents performance study channel capacity for flow-based-diffusive that takes into account ligand-receptor binding mechanism. Unlike earlier studies, we take effects physical characteristics such pressure, viscosity, diameter capacity. Furthermore, terms drug transmission error probability, inter-symbol interference (ISI) phenomenon is applied proposed system. The numerical results show AI nanosystems-based IoBNT technology successfully implemented future nanomedicine.