US EditionAI tool uses selfies to predict biological age and cancer survival
- FaceAge is a deep learning algorithm that converts headshots into biological age estimates, as described in The Lancet Digital Health.
- Cancer patients were found to be biologically five years older than healthy individuals on average, according to the study's authors.
- The study found that a higher FaceAge score predicted worse survival rates among cancer patients, even when considering actual age.
- The authors believe this AI tool opens new possibilities for biomarker discovery from photographs, extending beyond cancer care.
64 Articles
64 Articles
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Scientists Claim AI Can Tell Cancer Patients Their Odds of Living by Looking At Their Selfies
Some of us look old for our age, while others look younger. These differences, though, may not just be superficial. Our appearances, youthful or seasoned, could actually be an accurate reflection of what scientists call our "biological age," a form of measuring someone's age by the health of their body's cells, as opposed to counting their years since birth. Exploring this, a team of scientists at Mass General Brigham (MGB) have now developed an…
AI Tool Analyzes Facial Images to Estimate Biological Age and Predict Cancer Survival
A facial photo is being analyzed by artificial intelligence to estimate biological age and health outcomes in cancer care. Credit: Dennis Bontempi, PhD et al. A person’s face may reveal more than just emotions; it might offer critical clues about their health. Researchers at Mass General Brigham have developed an AI tool called FaceAge, which uses facial images to estimate a person’s biological age and predict survival outcomes, particularly in …
The Seattle Times
Bangkok PostCan a photograph reveal your biological age?
In a new study, published in The Lancet Digital Health, researchers trained artificial intelligence to estimate the biological ages of adults with cancer by analyzing photos of their faces.
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