Advanced Bioscience and Biosystems for Detection and Management of Diabetes

lt;p> Dr. Kishor Kumar Sadasivuni is a Research Assistant Professor and the group leader of Smart Nano Solutions at Center for Advanced Materials, Qatar University. He received his Ph.D. in Materials Science and Engineering from the University of South Brittany at Lorient, France, in 2012.

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.