Abstract

This article presents observations and insights from more than two decades of biomedical data mining and predictive modeling research studying diverse aspects of health and disease. It has led the author to reevaluate modern life and how lived experiences in many parts of the world can now be more easily examined for their scientific validity with the help of recent biomedical technological advancements. Our mitochondria are multi-faceted and the next generation of humans will need to develop a strong scientific understanding of their importance to our health. The mind-body connection is also now being investigated through researching the networks of mitochondrial bioenergetics. Herein, a first simple algorithm for healthy aging is introduced as a method to reduce chronic disease burden globally by synthesizing insights from literature and experience. This work is aimed to jump start the collection of Algorithms for Healthy Aging (AHA) in the context of global populations in their locally lived generational experiences, which may have underlying scientific bases that are yet to be discovered and validated.