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Interdisciplinary research unlocking innovative solutions in healthcare

Author

Listed:
  • Lepore, Dominique
  • Dolui, Koustabh
  • Tomashchuk, Oleksandr
  • Shim, Heereen
  • Puri, Chetanya
  • Li, Yuan
  • Chen, Nuoya
  • Spigarelli, Francesca

Abstract

Advances in Internet of Things (IoT) devices and in Machine Learning (ML) applications can provide valuable insights and predictions on personal health by optimizing data generation and processing.

Suggested Citation

  • Lepore, Dominique & Dolui, Koustabh & Tomashchuk, Oleksandr & Shim, Heereen & Puri, Chetanya & Li, Yuan & Chen, Nuoya & Spigarelli, Francesca, 2023. "Interdisciplinary research unlocking innovative solutions in healthcare," Technovation, Elsevier, vol. 120(C).
    • Handle: RePEc:eee:techno:v:120:y:2023:i:c:s016649722200058x
    DOI: 10.1016/j.technovation.2022.102511
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    References listed on IDEAS

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    Cited by:

    1. Mohammad Daradkeh, 2023. "Exploring the Curvilinear Relationship between Academic-Industry Collaboration Environment and Innovation Performance: A Multilevel Perspective," Sustainability, MDPI, vol. 15(10), pages 1-20, May.

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