Network communication is now critical for several different sectors, including transport, manufacturing, agriculture, and healthcare. The fifth generation (5G) of networks can support and further enhance this vertical sector work, but new paradigms and technologies are required to meet increasing expectations. Terahertz communication offers potential in this regard, especially given its high transmission rates. A number of issues must be considered, however, including signal attenuation due to the absorption characteristic of the transference medium. In this paper, we examine a healthcare scenario where communication between transmitter and receiver is carried out at terahertz frequencies. Our results show that when combined with a machine learning mechanism, terahertz communications protocols can be established to reduce signal path losses in the system.