3D-printed epifluidic electronic skin for machine learning–powered multimodal health surveillance

The amalgamation of wearable technologies with physiochemical sensing capabilities promises to create powerful interpretive and predictive platforms for real-time health surveillance. However, the construction of such multimodal devices is difficult to be implemented wholly by traditional manufacturing techniques for at-home personalized applications. Here, we present a universal semisolid extrusion–based three-dimensional printing technology to fabricate an epifluidic elastic electronic skin (e 3 -skin) with high-performance multimodal physiochemical sensing capabilities. We demonstrate that the e 3 -skin can serve as a sustainable surveillance platform to capture the real-time physiological state of…

• NS
  National Science Foundation

  Award: 2145802
• NI
  National Institutes of Health

  Awards: R01HL155815, R21DK13266
• OO
  Office of Naval Research

  Awards: N00014-21-1-2483, N00014