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Modularly-Assembled Smart Microneedle Platform for Machine Learning-Driven Personalized Health Monitoring

  • Hongyi Sun
  • , Lechen Chen
  • , Tao Wang*
  • , Zhuoheng Li
  • , Yi Shi
  • , Wen Lv
  • , Zhi Yang
  • , Fuzhen Xuan
  • , Min Zhang*
  • , Guoyue Shi*
  • *Corresponding author for this work
  • East China Normal University
  • Shanghai Jiao Tong University
  • East China University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

A skin-interfaced microneedle patch simultaneously and continuously measures six metabolic biomarkers from dermal interstitial fluid—glucose, uric acid, cholesterol, sodium, potassium, and pH. Modular microneedle units assembled on a compliant polystyrene-isoprene-polystyrene substrate offer mechanical robustness and excellent flexibility, enabling seamless adhesion, stable skin-sensor coupling, and user-specific configuration, which delivers durable, conformal wear with high signal fidelity in daily use. An end-to-end personalized health evaluation system: high-dimensional multiplexed signals are processed by an optimized machine-learning pipeline to quantify and predict metabolic responses to daily behaviors, supporting personalized guidance (e.g., postprandial control, electrolyte balance).

Original languageEnglish
Article number248
JournalNano-Micro Letters
Volume18
Issue number1
DOIs
StatePublished - Dec 2026

Keywords

  • Flexible patch
  • Machine learning
  • Microneedle
  • Multiplexed sensing
  • Personalized health

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