Current state-of-the-art techniques for detecting pathogen exposure often utilize molecular diagnostics. These methods suffer from steep logistic burdens and associated costs. They are rarely used until patients self-report or present symptoms. Less demanding techniques exist that process patients’ physiological signals for the early detection of infection. However, these techniques utilize strongly-confounded signals such as heart rate, fever, and body core temperature. There is a need for technologies, such as these, that are capable of accurately processing traditionally confounded physiological signals to indicate whether a patient has been exposed to a viral infection, bacterial infection, or other communicable pathogens.