AI Aging Clocks Estimate Your Biological Age—But Can They Predict Health Risks?

Scientists have developed artificial intelligence (AI) aging clocks designed to estimate a person’s true biological age.

What is biological age?

Chronological age reflects how many years a person has lived. Biological age is intended to show how well the body’s systems are functioning.

Researchers believe people with an older biological age may face a higher risk of age-related diseases such as cancer, heart disease and dementia. By contrast, a younger biological age may be associated with a lower risk. Some aging clocks are also designed to predict a person’s imminent risk of death.

How do biological aging clocks work?

Many aging clocks focus on epigenetic markers—chemical tags that attach to DNA and influence how genes are activated. Other tools measure characteristics such as the pace and pitch of a person’s voice.

However, some scientists say it is still unclear how these aging clocks should be used. The tools may be useful for population-level aging research, but they are not currently intended to guide individual health decisions.

Why scientists remain cautious

Critics argue that the data used to develop biological aging clocks can be too noisy, potentially leading to incorrect conclusions about what the clock is actually measuring.

For example, researchers do not yet know whether these tools accurately measure the underlying causes of aging or simply detect its downstream effects. As discussed in research on biological aging, the relationship between aging markers and the aging process remains uncertain.

There is currently no treatment available to “rewind” a biological aging clock.

Would you use an AI aging clock?

Would you use an AI tool to measure your biological age? Share your thoughts and explain your reasoning in the comments.