Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …

Precision Nutrition research aims to use personal information about individuals or groups of
individuals to deliver nutritional advice that, theoretically, would be more suitable than …

Predicting glucose values on the basis of insulin and food intakes is a difficult task that
people with diabetes need to do daily. This is necessary as it is important to maintain …

The unique physiological and genetic characteristics of individuals influence their reactions
to different dietary constituents and nutrients. This notion is the foundation of personalized …

Nutritional disorders have become a major public health issue, requiring increased targeted
approaches. Personalized nutrition adapted to individual needs has garnered dramatic …

Abstract Multi-Target Regression problem comprises the prediction of multiple continuous
variables given a common set of input features, unlike traditional regression tasks, where …

This paper illustrates the development and the applicability of an Evolutionary Computation
approach to enhance the treatment of Type-1 diabetic patients that necessitate insulin …

One the most relevant application areas of artificial intelligence and machine learning in
general is medical research. We here focus on research dedicated to diabetes, a disease …

The quality of life of diabetic patients can be enhanced by devising a personalized control
algorithm, integrated within an artificial pancreas, capable of dosing the insulin. A key action …

Symbolic Regression (SR) is a data-driven methodology based on Genetic Programming,
and it is widely used to produce arithmetic expressions for modelling learning tasks …