AI estimates biological age from photos

American researchers have created an artificial intelligence called FAHR-Face that can estimate a person's biological age and assess the risk of death using a facial photograph. The AI was trained on over 40 million images to identify patterns that correlate with health and aging.

Models focus on different health aspects

From this training, two models were developed. One, FAHR-FaceAge, estimates a person's apparent biological age, while the other, FAHR-FaceSurvival, assesses the risk of death, particularly for cancer patients undergoing treatment. The goal is to help doctors better understand a patient's health status before major medical procedures.

Facial features predict health outcomes

FAHR-FaceAge analyzes specific facial features such as nasogenial furrows, the forehead, and temples to estimate biological age. These features are linked to aging processes and overall health conditions, providing a more accurate picture than chronological age alone.

Risk assessment targets specific areas

FAHR-FaceSurvival focuses on different facial areas, particularly under the eyes and around the nose. These regions are believed to reflect stress, disease, and overall health, allowing the model to predict survival rates in cancer patients more effectively.