Yet, the statement carried an important rider: implausible “unless the processes of biological aging can be markedly slowed”. And targeting those underlying causes of aging is exactly what longevity scientists like Dr. Zhavoronkov are attempting.
A number of factors are driving this hypothesis. They include breakthroughs in understanding the biomarkers of aging, then using AI and potentially quantum computing to accelerate the discovery of treatments and drugs to prevent or delay its onset.
Most notably, this involves slowing the loss of bodily function that triggers chronic diseases like diabetes, heart disease, stroke, cancer and dementia. These diseases are currently growing in both prevalence and cost – to an estimated US$47 trillion worldwide by 20305.
The social and economic consequences of overturning chronic diseases would be enormous. And improvements are certainly possible. The one point doctors agree on is how many can be prevented or delayed by addressing unhealthy lifestyle choices (physical inactivity, poor nutrition, smoking and excessive alcohol), plus environmental exposures like pollution.
Changes can, for example, alter the way that genes express themselves by turning certain ones on or off (epigenetics) without changes to the underlying DNA sequence.
Many governments are consequently trying to improve national finances and their citizens’ healthspans by pivoting healthcare systems away from the treatment of diseases to the prevention of them. Data from wearables should progressively facilitate this, providing doctors and patients with a continuous flow of information about the impact that medicines and lifestyle changes are having.