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Would you trust AI to calculate your true 'biological age'?

Scientists have developed various AI tools to measure people's biological ages. Would you use one?

Would you trust AI to calculate your true 'biological age'?

Scientists have recently used artificial intelligence (AI) to create aging clocks that attempt to calculate an individual's true biological age. Chronological age is simply the number of years a person has lived, while biological age reflects how well their bodily systems are functioning. People with older biological ages are at a higher risk of age-related diseases such as cancer, heart disease or dementia, while those with younger biological ages face less risk. Some aging clocks even aim to predict a person's risk of death.

Aging clocks work by examining epigenetic markers, which are chemical tags that bind DNA and influence how genes are activated. Other clocks measure features like the pace and tone of a person's voice. However, some scientists are skeptical about the usefulness of these aging clocks, contending that the tools are beneficial for studying aging trends among populations, but not for making individual health decisions.

Others believe the data used to build the clocks is too unreliable, which could lead to incorrect conclusions about what the aging clocks are measuring. They argue that we don't know if the clocks are measuring the effects of aging or its underlying causes. Additionally, there are no current treatments to "reverse" the aging clocks.

The article poses the question: would you trust AI to measure your biological age? Readers are invited to participate in a poll and share their reasoning and further thoughts on the technology in the comments section.

Written by urgent.news from Live Science's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at livescience.com →

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