Chapter 1 Alternative Frameworks for Personalized Insulin–Glucose Models

Chapter 2 Accuracy of BG Meters and CGM Systems: Possible Influence Factors for the Glucose Prediction Based on Tissue Glucose Concentrations

Chapter 3 CGM—How Good Is Good Enough?

Chapter 4 Can We Use Measurements to Classify Patients Suffering from Type 1 Diabetes into Subcategories and Does It Make Sense?

Chapter 6 Meta-Learning Based Blood Glucose Predictor for Diabetic Smartphone App

Chapter 7 Predicting Glycemia in Type 1 Diabetes Mellitus with Subspace-Based Linear Multistep Predictors

Chapter 8 Empirical Representation of Blood Glucose Variability in a Compartmental Model

Chapter 9 Physiology-Based Interval Models: A Framework for Glucose Prediction Under Intra-patient Variability

Chapter 10 Modeling and Prediction Using Stochastic Differential Equations

Chapter 11 Uncertainties and Modeling Errors of Type 1 Diabetes Models

Chapter 12 Recent Results on Glucose–Insulin Predictions by Means of a State Observer for Time Delay Systems

Chapter 13 Performance Assessment of Model-Based Artificial Pancreas Control Systems