Chronic wounds are a significant burden to patients, health care professionals, and health care systems worldwide. Diagnosis of wound infection currently relies on clinical judgment, which varies widely and is subjective in nature, as well as culture-based tests, which can take days to yield results. This can lead to inappropriate use of empiric antibiotics, which is an increasing healthcare concern due to the emergence of drug resistant microbes. Thus, there is a need for better methods of early wound diagnosis and treatment guidance. An accurate, image-based method that identifies infection within wounds would address a significant unmet need for rapid point-of-care wound care diagnostics. Early recognition of infection, identification of pathogenic microorganisms, and assessment of pathogenic load would have a major impact on delivering optimum wound management and hence healing rates.
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