Now showing items 1-3 of 3

    • Artificial intelligence to improve blood glucose control for people with type 1 diabetes 

      Navarathna, Pranesh (Rensselaer Polytechnic Institute, Troy, NY, 2020-12)
      Automatic activity detections and forecasts can allow a controller to prompt for meals and anticipate exercise. To this end, an automatic activity detection framework using a smartwatch and smartphone has been developed. ...
    • Deep neural networks for mri applications 

      Lyu, Qing (Rensselaer Polytechnic Institute, Troy, NY, 2022-05)
      Magnetic resonance imaging (MRI) has been widely used for clinical disease diagnosis and neuroscience research since its invention. Compared with other commonly used medical imaging modalities like computed tomography and ...
    • Modeling efforts for improved meal prediction with application to blood glucose control 

      Diamond, Travis (Rensselaer Polytechnic Institute, Troy, NY, 2022-08)
      Type 1 Diabetes Mellitus is a disease characterized by the loss of insulin production from beta cells in the pancreas, which results in unregulated blood glucose (BG). The condition is permanent, exacting a high toll on ...