We present novel implementations of intelligent Raman spectroscopy for determining infectious pathogens across the cycle of infection including 1) contaminated sources of food and water; 2) culture and drug co-incubation independent diagnosis and susceptibility testing from patient samples, and 3) indirect detection of causative agents in non-sample producing disease conditions leading to negative results in gold standard diagnostics. We span identification of major infectious agents including TB and non-productive pneumonia across liquid, dried and vapor sample conditions. Our approaches push the limits of Raman spectroscopy in addressing various facets of infectious disease burden through creative integration of the optics with chemistry, fluidics and machine learning approaches.
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