Sweat contains a variety of metabolic compounds and therefore hosts a broad panel of non-invasive biomarkers. Novel smartphone-based biosensors enable patientdriven, lab-independent, on-skin sweat analysis and provide a direct, non-invasive metabolic feedback. Thus, sweat analysis is a source of next-generation digital biomarkers and allowing novel insights into longitudinal, molecular health data. In a recently, successfully finished explorative pilot study we detected β-lactam antibiotics and vancomycin in in-house patients’ sweat samples using mass spectrometry. Therefore, sweat analysis has the potential to serve as a non-invasive therapeutic drug monitoring for antibiotics. In the conclusion, there is a high potential for smartphone-based sweat analysis and the need to evolve the internet-enabled field of sweat expertise: iSudorology.