New York Times features AIM Study on Biological Age using Face Photos

New York Times highlighted our study in their article titled, “Can a Photograph Help Predict Who Will Survive Cancer Treatment?"

The piece gave several concrete examples from our research, noting that our AI model, "FaceAge," found study subjects with cancer appeared, on average, five years older than their chronological age, whereas people without cancer had a biological age closer to their actual age.

The article also shared the powerful story of one of our study participants, Toni Feather, explaining how her estimated biological age was 10 years younger than her real age, which reflected the physical resilience that helped her withstand grueling treatments. It correctly pointed out that our model goes beyond obvious markers like wrinkles, instead flagging less apparent factors such as the hollowing of the temples, which can indicate muscle loss. While celebrating the potential of our work, the article also fairly represented the challenges ahead, including the need to diversify our training data and our own concerns about the ethical implications, which we are committed to addressing.