The application of artificial intelligence to the study of aging in 2013 led to the development of tools for measuring biological age and predicting mortality, which is defined as the frequency of death in a defined population during a specified interval [1]. Public access to these tools creates the opportunity for self-studies, allowing individuals to gain insights into how their bodies would respond to diet, lifestyle, exercise, and supplementation interventions aimed at changing their biological ages or risks of death. In 2013, Steve Horvath developed a highly accurate artificial intelligence-driven method of determining biological age [2]. This long-awaited development ushered in a new era of aging research. For the first time, it enabled researchers in academia and industry to measure the results of their work in terms of changes in biological age. For example, in 2019, Dr. Greg Fahy and his colleagues carried out an experiment aimed at regenerating the thymus.