As medicinal science progresses, researchers have developed an AI mechanism that uses a selfie to determine a patient's biological age and judge how well they may respond to cancer treatment. The research, which was published in the journal Lancet Digital Health and stated that because humans age at different rates, their physical appearance may offer insights into their so-called "biological age". This biological or physiological age can help estimate a cancer patient's response to chemotherapy. How Was FaceAge AI Tool Developed?The researchers wanted to analyse whether a person's biological age could be tested based on how a person looks. This could include whether someone could undergo intensive cancer treatment based on how frail they appear to be. Researchers said they wanted to see whether they could go beyond the subjective and manual eyeball test by creating a "deep learning" artificial intelligence, or AI, tool which could assess simple selfies. That is how they created the FaceAge AI tool. Trained using 59,000 photos, this AI tool can estimate a person's biological age, as opposed to their actual age, by scanning an image of their face. "Our study now has shown for the first time that we can really use AI to turn a selfie into a real biomarker source of ageing," said Dr Hugo Aerts, corresponding author of the paper. Researchers found that the biological age of patients with cancer was, on average, five years higher than their chronological age. They also found that older FaceAge AI readings were associated with worse survival outcomes, especially in people over 85 years of age. More studies assessing FaceAge are underway, including whether it could be used for other conditions or diseases and what impact things like cosmetic surgery or Botox have on the tool’s accuracy. "We have demonstrated that AI can turn a simple face photo into an objective measure of biological age that clinicians can use to personalise care for patients, like having another vital sign data point. It was another piece of the puzzle, like vital signs, lab results or medical imaging. We want to be clear that we view AI tools like FaceAge as assistance, [to] provide decision support and not replacements for clinician judgment," Dr Ray Mak, co-senior author of the paper, said.