Bovine respiratory disease (BRD), which includes respiratory diseases like pneumonia in cattle, is known to cause animal losses and economic impacts in the dairy and beef industry. Specifically, the annual expenses related to BRD are approximately $800-900 M in the U.S.. Multiple factors such as a change in environmental temperature, the presence of bacteria and viruses that infect the lung, and stressful events can make an animal more susceptible to BRD. Though we know which bacteria and viruses infect the lungs of these animals based on bacterial culture on post-mortem lung tissue samples, we still do not have an accurate diagnostic method to diagnose BRD in a live animal. At the farm, the personnel rely on the identification of visual symptoms (such as high rectal temperature, nasal discharge, and decrease in feed efficiency) to determine if an animal has BRD. Nonetheless, these symptoms are not unique to respiratory disease. Additionally, by nature, cattle are considered prey, and by instinct, they will hide their symptoms to not look susceptible to avoid attack by a predator. Thus, without timely detection of BRD, we risk losing the animal or treating sick animals with antibiotics. Thus, it is necessary to develop a BRD diagnostic tool that will not only rely upon visual symptoms alone, but will utilize the presence and abundance of bacteria and viruses that infect the respiratory tract.