THE THEORETICAL STUDY OF MATHEMATICAL AND COMPUTATIONAL MODELS IN DIABETIC PATHOLOGY

Diabetes is a global public health problem, and its prevention can be addressed through primary, secondary and tertiary strategies. Early diagnosis is essential, using tests such as fasting blood glucose, glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) to assess risks and glycemic control. Mathematical models that analyze the physiological interactions between glucose and insulin have been developed to quantify metabolic functions and improve predictions in diabetes management. These models can benefit from research conducted on zebrafish, which provides valuable experimental data due to their metabolic similarities and transparency. Thus, integrating these studies into mathematical models may contribute to the development of more effective therapies for diabetes.