Advanced Bioscience and Biosystems for Detection and Management of Diabetes

Introduction.- Review of Emerging Approaches Utilizing Alternative Physiological Human Body Fluids in Non- or Minimally Invasive Glucose Monitoring.- Current Status of Non-invasive Diabetics Monitoring.- A New Solution for Non-invasive Glucose Measurement Based on Heart Rate Variability.- Optics Based Techniques for  Monitoring Diabetics.- SPR Assisted Diabetics Detection.- Infrared and Raman Spectroscopy Assisted Diagnosis of Diabetics.- Photoacoustic Spectroscopy Mediated Non-Invasive Detection of Diabetics.- Electrical Bioimpedance Based Estimation of Diabetics.- Millimeter and Microwave Sensing Technique for Diagnosis of Diabetics.- Different Machine Learning Algorithm involved in Glucose Monitoring to Prevent Diabetes Complications and  Enhanced Diabetes Mellitus Management.- The role of Artificial Intelligence in Diabetes management.- Artificial Intelligence and Machine learning for Diabetes Decision Support.- Commercial Non-Invasive Glucose Sensor Devices for Monitoring Diabetics.- Future Developments in Invasive and Non-Invasive Diabetics Monitoring.