Giles Bruce / beckershospitalreview - Using multiple photos from across a patient’s course of treatment in the FaceAge AI tool may be an even better predictor of survival than a single photo alone, a new Mass General Brigham study found. Researchers behind FaceAge, which uses AI to analyze a …
AI Summary: An AI model trained on clinical cohorts at Mass General Brigham can estimate biological aging from simple facial photos and links accelerated facial aging to poorer cancer survival. The research suggests noninvasive image-based signals could complement standard prognostic markers, offering a surprising, low-cost way to flag higher-risk patients earlier.
Liquid biopsy blood test promises personalized lung cancer detection and monitoring / 4 days
Deep‑learning pathomics platform may predict immunotherapy response in lung cancer / 5 wks
Lower CA19‑9 cutoff could spot more high‑risk pancreatic cases / 8 days
ML model uses DNA methylation to identify cancers' tissue of origin / 5 wks
National study to use genetic testing to guide cancer survivor follow-up / 22 days
Prosigna-guided OPTIMA trial shows chemo can be safely skipped in many ER+/HER2− breast cancers / 25 hrs
UK records highest-ever skin cancer cases; severe cases rise / 9 days
StackHealth RSS

StackHealth Time Machine
NorthFeed Inc. Terms and Conditions / Privacy Policy
Disclaimer: The information provided on this website is intended for general informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the content. Users are encouraged to verify all details independently. We accept no liability for errors, omissions, or any decisions made based on this information.