A Systems Framework for Wearable Biosensors in Inflammatory and Environmental Biomarker Surveillance

The increasing prevalence of chronic inflammatory conditions and the growing concern around environmental exposure necessitate innovative tools for continuous health surveillance. Wearable biosensors, particularly those leveraging next-generation biochemical and environmental sensing platforms, offer unprecedented capabilities for non-invasive, real-time monitoring of key biomarkers. This paper presents a systems framework for integrating wearable biosensors into public health and personalized medicine models. By addressing key design parameters, interoperability standards, sensing modalities, and data analytics requirements, the framework proposes a scalable approach to biomarker surveillance, especially for markers such as C-reactive protein (CRP), interleukin-6 (IL-6), and fine particulate matter (PM2.5). Using fifty unique sources from a Zotero reference library and fifty additional academic publications, this study synthesizes multidisciplinary advances to support predictive diagnostics and environmental health intelligence. The results of the framework’s validation in simulated and real-world environments highlight the feasibility of accurate biosensor integration in epidemiological workflows, setting a new benchmark for non-invasive health monitoring in clinical and remote settings.