AI-Driven Metabolic Testing Can Help Identify Early Kidney Rejection in Post-Transplant Surveillance

AI-Driven Metabolic Testing Can Help Identify Early Kidney Rejection in Post-Transplant Surveillance

The primary purpose of metabolic testing is to determine the metabolic condition of an individual. During a controlled environment, the testing will determine the number of calories (food energy) and volume of oxygen consumption and output. Three major factors influence metabolic test results: physical activity, sleep, and food intake, and metabolism. Measurement of substrate utilization, known as substrate cycling, is used in conjunction with body composition analysis to assess changes in the energy and macronutrient balance and to identify potential dietary recommendations. A measurement of the substrate to use is called bioresonance, which is a measurement of oxygen consumption and expenditure during physical activity and sleep. When multiple measurements are combined, metabolic testing can provide detailed metabolic information for an individual.

An exercise session triggers physiological responses in the body, resulting in increased heart rate, enhanced oxygen consumption, and the production of neurotransmitters like dopamine and epinephrine. This enhanced oxygen consumption and metabolic response support exercise-induced energy demands during subsequent sessions. Oxygen consumption and expenditure, together with hormone release and the production and secretion of immune cells support cellular regeneration. This metabolic testing is used in patients with chronic fatigue syndrome who are treated with medication for the underlying cause of fatigue. In addition, it is used to monitor thyroid function, kidney function, protein metabolism, and inflammatory diseases such as fibromyalgia and cancer.

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