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Address
33-17, Q Sentral.
2A, Jalan Stesen Sentral 2, Kuala Lumpur Sentral,
50470 Federal Territory of Kuala Lumpur
Contact
+603-2701-3606
info@linkdood.com
What if a simple selfie could reveal how well you’re really aging—and even predict how you might respond to treatment? FaceAge, an AI tool from Mass General Brigham in Boston, does just that. By analyzing facial features, it estimates your “biological age”—which can differ wildly from the number on your birth certificate.
FaceAge goes beyond gray hair and wrinkles. It examines skin folds around your mouth, hollowing at your temples, and other subtle cues to gauge your body’s actual wear and tear. In tests on cancer patients, the AI showed that people whose faces looked older were less likely to tolerate aggressive treatments like radiotherapy.
Scientists plan to expand testing beyond oncology to heart disease, dementia, and other age-related conditions.
FaceAge promises personalized care, but it’s not perfect. The initial version was built mostly on white faces, so its accuracy across diverse skin tones remains under review. Major changes—cosmetic surgery, heavy makeup, even lighting—can skew results. Ethical questions also loom: who owns your “age data,” and could insurers or employers misuse it?
Q1: What exactly does FaceAge measure?
It estimates your biological age by analyzing facial features tied to health and aging—offering insights into treatment risks and wellness planning.
Q2: Can FaceAge work for everyone?
The tool is most accurate on populations similar to its training data (mainly white faces). Researchers are collecting more diverse images to reduce bias and improve reliability.
Q3: Is my data safe?
FaceAge developers say photos are encrypted and used only for analysis—not to train future models without consent—but users should still check privacy terms before uploading.
Sources The Guardian