A new mathematical approach incorporates personalized details to simulate the metabolic effects of exercise which can be adapted to different individual characteristics, such as age and weight, as well as different types and intensities of exercise. Physical activity helps to prevent or treat metabolic diseases and to understand better of the molecular effects of exercise that could aid clinical efforts to address the disease. It is difficult to monitor in people the system-level effects of exercise, so the scientists have developed mathematical models to simulate them. However, previously developed models don’t provide key details such as exercise type and personal characteristics. To address this challenge, the existing model was extended to make it more personalized which used known properties of different organs and tissues to simulate the effects of exercise on metabolic dynamics of glucose, hormones, and related substances in those tissues. However, the model...