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Cancer: AI-measured “facial aging” emerges as a new prognostic biomarker
6 mai 2026

By Elodie Vaz | Published on May 6, 2026 | 4 min readIn oncology, predicting disease progression and treatment response remains a major challenge. While tumor biomarkers, imaging, and clinical parameters already guide therapeutic decisions, they do not always capture a patient’s overall biological state. Yet biological aging, which reflects physiological frailty, strongly influences treatment tole
By Elodie Vaz | Published on May 6, 2026 |
4 min read
In oncology, predicting disease progression and treatment response remains a major challenge. While tumor biomarkers, imaging, and clinical parameters already guide therapeutic decisions, they do not always capture a patient’s overall biological state. Yet biological aging, which reflects physiological frailty, strongly influences treatment tolerance and survival.
With this in mind, a team from Mass General Brigham is exploring a novel approach: using the face as a health indicator. In a study published on April 28 in Nature Communications, researchers show that the “rate of facial aging” measured by artificial intelligence could serve as a non-invasive prognostic biomarker in cancer.
In oncology, predicting disease progression and treatment response remains a major challenge. While tumor biomarkers, imaging, and clinical parameters already guide therapeutic decisions, they do not always capture a patient’s overall biological state. Yet biological aging, which reflects physiological frailty, strongly influences treatment tolerance and survival.
With this in mind, a team from Mass General Brigham is exploring a novel approach: using the face as a health indicator. In a study published on April 28 in Nature Communications, researchers show that the “rate of facial aging” measured by artificial intelligence could serve as a non-invasive prognostic biomarker in cancer.
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