The Problem with Aging

Aging is the most universal medical affliction, responsible for so much human suffering, yet it’s difficult to imagine life without it. Every day over 150,000 people die, with two-thirds of those deaths being related to aging; however, the mainstream global healthcare and medical research establishment does not prioritize addressing this issue. Instead, our health-care systems are narrowly focused on individual morbidities, reacting to geriatric diseases after they've already taken hold, rather than addressing the root cause: aging. Today's economic and psychological incentives in the medical world are not oriented toward encouraging researchers, doctors, and patients to share data in order to find solutions to aging.

The quantity and complexity of experimental data generated by biomedical research is increasing exponentially as the number of scientific publications increases. The data produced daily in genomics alone doubles every seven months, and within the next decade genomics will likely generate up to 40 exabytes of data!¹ Manual knowledge collection and curation cannot handle this flood of information. Unless high-throughput pipelines are built to move this data, a bottleneck in converting data to discoveries and discoveries to clinical applications will be created.

Biotech AI technologies are what are needed to solve the problem of too much information, and blockchain tokenomics is what is needed to create new ways for AI scientists, researchers, doctors, and patients to be motivated to work on solving aging. With the coming "silver tsunami,", a metaphor for the coming increase in the aging population, the time is right to use this new economic and technological framework. ¹ National Human Genome Research Institute. (2022) Genomic Data Science par. 1. Available at: https://www.genome.gov/about-genomics/fact-sheets/Genomic-Data-Science