Topic: Wearable Sensors for Biochemical and Biophysical Analysis of Human Health

Advances in soft, wearable biosensing systems with electrochemical, colorimetric, cardiovascular, biomechanics, hemodynamics, and integrated energy harvesting capabilities have enabled new possibilities in remote health monitoring, including personalized hydration, fatigue, blood pressure monitoring, health diagnostic, stress, and disease progression tracking. These novel classes of biosensors, devices, and the associated multi-modal data streams and actionable insights are fundamentally changing the way we analyze, diagnose, and intervene to improve the state of healthcare. The end result is a new landscape in digital health enabled by non-invasive biochemical and metabolic data which extends our capabilities from the paradigm of existing biophysical metrics (e.g. heart rate, step counts, heart rate variability) to a more holistic view of both biochemical and biophysical state of health. The resulting data and insights will spawn new algorithms, predictive models, and analytical tools for the data science and clinical communities. This Special Issue in Soft Science aims to highlight the recent advances in wearable biochemical and biophysical sensing across feasibility research through translational breakthroughs. Manuscripts that focus on novel wearable biosensing systems, clinical validation in human subjects, and multimodal data analytics approaches are strongly encouraged. We strongly encourage authors to deposit their source code, data, and design files in a public repository or in supplementary sections where appropriate.