Aging, AI, and the Uneven Road to Longevity Medicine

Nothing Lasts Forever

Aging is the gradual, time-dependent decline in the physiological functions required for survival and reproduction. Unlike age-related diseases (such as cancer or heart disease), the defining features of aging are shared by all individuals within a species.

As an integral part of life, aging has caused a multitude of philosophical disputes throughout history, tracing back to 350 BCE when Aristotle first tried to explain senescence, viewing it as a ‘natural illness’. However, conventional aging research started much later, in the 20th century.

Timeline of aging research. Adapted from “From discoveries in ageing research to therapeutics for healthy ageing”

Caloric restriction (CR) was an early breakthrough in aging research: in 1935, C. McCay showed that reducing calories in rodents increased lifespan. This effect was later reproduced across multiple species, including primates, providing early evidence that aging is biologically “plastic.” CR not only extends maximum lifespan but also delays or suppresses age-associated diseases, helping establish the idea that longer life can reflect slowed aging and improved healthspan—both total healthy years and the proportion of life spent disease-free.

In the mid-1900s, researchers debated whether aging “causes” chronic disease; although aging is the major risk factor, proving direct causality is difficult because many normal aging changes interact to drive dysfunction. These ideas, plus growing overlap between aging mechanisms and disease biology, helped form geroscience, distinct from broader gerontology.

Meanwhile, genetic approaches strengthened the field: Medawar’s 1952 evolution-inspired aging theory spurred fly selection experiments showing heritable lifespan differences, and a landmark 1988 C. elegans study revealed that single-gene mutations like age-1 can extend lifespan by ~40–60%. Since then, hundreds of lifespan-modulating genes have been identified, shifting the focus from describing aging traits to mapping shared pathways and homeostatic processes (including dietary restriction responses) that shape aging. Process-based paradigm underpinned the concept of aging hallmarks, firstly presented in 2013.

Aging Hallmarks & AI

Hallmarks of aging are defined as core biological processes that:

1. manifest with age
2. can accelerate aging when experimentally worsened
3. can be slowed, halted, or partially reversed by interventions that target them

They’re not independent—changing one often affects others. The milestone 2013 work described which were later .