Chapter 1 Introduction

Chapter 2 Review of Emerging Approaches Utilizing Alternative Physiological Human Body Fluids in Non- or Minimally Invasive Glucose Monitoring

Chapter 3 Current Status of Non-invasive Diabetes Monitoring

Chapter 4 A New Solution for Non-invasive Glucose Measurement Based on Heart Rate Variability

Chapter 5 Optic Based Techniques for Monitoring Diabetics

Chapter 6 SPR Assisted Diabetes Detection

Chapter 7 Infrared and Raman Spectroscopy Assisted Diagnosis of Diabetics

Chapter 9 Electrical Bioimpedance Based Estimation of Diabetics

Chapter 10 Millimeter and Microwave Sensing Techniques for Diagnosis of Diabetes

Chapter 11 Different Machine Learning Algorithms Involved in Glucose Monitoring to Prevent Diabetes Complications and Enhanced Diabetes Mellitus Management

Chapter 12 The Role of Artificial Intelligence in Diabetes Management

Chapter 13 Artificial Intelligence and Machine Learning for Diabetes Decision Support

Chapter 14 Commercial Non-invasive Glucose Sensor Devices for Monitoring Diabetes

Chapter 15 Future Developments in Invasive and Non-invasive Diabetes Monitoring