Noninvasive blood glucose sensing by secondary speckle pattern artificial intelligence analyses.

Journal: Journal of biomedical optics
Published Date:

Abstract

SIGNIFICANCE: Diabetes is a prevalent disease worldwide that can cause severe health problems. Accurate blood glucose detection is crucial for diabetes management, and noninvasive methods can be more convenient and less painful than traditional finger-prick methods.

Authors

  • Deep Pal
    Bar-Ilan University, Faculty of Engineering, Ramat Gan, Israel.
  • Amitesh Kumar
    Indian Institute of Technology (Indian School of Mines) Dhanbad, Department of Electronics Engineering, Dhanbad, Jharkhand, India.
  • Nave Avraham
    Bar-Ilan University, Faculty of Engineering, Ramat Gan, Israel.
  • Yoram Eisenbach
    Bar-Ilan University, Faculty of Engineering, Ramat Gan, Israel.
  • Yevgeny Beiderman
    Bar-Ilan University, Faculty of Engineering, Nanotechnology Center, Ramat-Gan, Israel.
  • Sergey Agdarov
    Bar-Ilan University, Faculty of Engineering, Ramat Gan, Israel.
  • Yafim Beiderman
    Bar-Ilan University, Faculty of Engineering, Nanotechnology Center, Ramat-Gan, Israel.
  • Zeev Zalevsky
    Faculty of Engineering and the Nano-Technology Center, Bar-Ilan University, Ramat Gan, 52900 Israel.