AI Predicts Biological Age From Your Face
AI Breakthrough Estimating Biological Age from Photos
Scientists have unveiled an innovative AI tool capable of analyzing an ordinary photograph to estimate how rapidly a person's body is aging. This development could herald a significant shift in areas like cancer care by offering deeper insights into an individual's health.
Introducing FaceAge A New Tool for Health Assessment
According to a new study published in The Lancet Digital Health, researchers from Mass General Brigham are behind this AI tool, named FaceAge. It is designed to determine the biological age of adults, particularly those with cancer, by examining their facial photographs. The goal of FaceAge is to assist in evaluating a patient's overall health by providing their biological age. This figure offers a more precise reflection of how their body is aging, which can be invaluable for guiding treatment decisions.
How FaceAge Was Developed and Tested
To build FaceAge, researchers trained the AI using a substantial dataset of nearly 60,000 images of healthy individuals. Following this training, they assessed its accuracy by testing it on over 6,000 cancer patients who were preparing to undergo radiotherapy. The findings were significant: on average, cancer patients appeared biologically about five years older than their chronological age. Moreover, each additional year of biological aging was correlated with a shorter life expectancy.
This image illustrates the FaceAge tool in operation (via Mass General Brigham).
The Science How FaceAge Analyzes Facial Features
FaceAge functions by automatically scanning key facial features. These include skin quality, muscle tone, and eye structure. From this analysis, it calculates a person’s biological age. All the system requires to make its prediction is a standard head-and-shoulders photograph.
Potential Impact on Cancer Treatment and Patient Evaluation
The study posits that biological age could serve as a strong indicator of a patient’s physical condition and resilience. This could provide doctors with a more effective method for assessing how an individual might respond to specific treatments, compared to relying solely on chronological age.
Future Research and Broader Applications of Photographic Biomarkers
The scientists responsible for the study acknowledge that more research is needed before this technology can be integrated into routine clinical practice. They are actively exploring its potential to predict disease risk, assess overall health, and even estimate lifespan. Upcoming studies will concentrate on testing FaceAge in various hospital settings, evaluating patients at different stages of cancer, monitoring how FaceAge scores evolve over time, and examining its performance with altered appearances in photos, such as after plastic surgery or when makeup is worn.
A Vision for Early Detection and Personalized Medicine
“This opens the door to a whole new realm of biomarker discovery from photographs, and its potential goes far beyond cancer care or predicting age,” Ray Mak, a faculty member in the AIM program at Mass General Brigham, explained in a press release statement.
He added, “As we increasingly think of different chronic diseases as diseases of aging, it becomes even more important to be able to accurately predict an individual’s aging trajectory. I hope we can ultimately use this technology as an early detection system in a variety of applications, within a strong regulatory and ethical framework, to help save lives.”
Image credits: Header photo licensed via Depositphotos.
