Activity-based Diagnostic: A New Approach to the Identification and Tracking of Disease

Several diseases can lead to life-threatening conditions, but their intermittent nature and vague symptoms often make diagnosis challenging. Therefore, activitybased diagnosis is an approach that simplifies the diagnostic process and improves accuracy. This narrative review examines the current scenario of activity-based diagnostic methods in infectious and non-infectious diseases, using various databases, including Google Scholar, PubMed, Web of Science, and Scopus (2000-2024). Clinical studies and review articles were included, with emphasis on technological advances and validation studies. The activity-based diagnosis has several advantages over traditional methods, like enhancing specificity, sensitivity, and detection time. The innovations include fluorescent probes, colorimetric detection systems, nanosensors, and the integration of artificial intelligence. Further clinical trial data show favorable results in cancer screening, as well asthe detection of infectious and chronic diseases, as this approach enhances targeted therapy and diagnosis.