The need for dependable, high-speed transmission of medical data from the lungs to distant medical institutions can be met with the development of terahertz technology and NanoIntelligent biological sensors, that is, artificial intelligence-enabled sensors and healthcare microbial devices. Thus, intra-body terahertz Nano Sensor networks have great promise for remote monitoring of lung health. A topology model called Low Delay Low Energy consumption (LDLE) is suggested, considering the energy constraints of nanoscale nodes and the significant delay needed for transmitting lung data. To achieve the best possible goal of reducing overall network latency and energy consumption, this technique provides a paradigm for mixed-integer nonlinear programming that resolves the topology design problem. Mesh topologies provide lower latency, which is important for lung terahertz Nano Sensor networks, which require low energy usage, higher throughput, and longer network lifetime.