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AI Model Uses Face Photos to Estimate Biological Age and Predict Cancer Survival Risk
Sentiment: NeutralHigh Priority
What Happened?
A new AI model, FAHR-Face, estimates biological age from facial photos and predicts cancer survival risk. Patients in the highest risk group had over three times the mortality risk compared to the lowest group.
Key points
- The AI model was trained on over 40 million facial photographs.
- It estimates biological age with an average error of about five years.
- Among 38,183 patients, those appearing biologically older had poorer survival outcomes.
- A second model, FAHR-FaceSurvival, was trained on 34,363 cancer patients.
- Patients in the highest-risk group were over three times more likely to die compared to the lowest-risk group.
- The models were also tested on 4,892 cancer patients in the Netherlands.
Key insights
- The AI models could potentially complement existing cancer diagnostic techniques.
- Reliability in diverse populations, such as in India, remains to be established.
- The integration of facial analysis with genomic testing may enhance personalized cancer care.
Why it matters
This AI technology could enhance cancer treatment predictions and improve patient outcomes.
Source
Times of India
