[REVISION HISTORY]

Mass General Brigham cancer research developments

Updated 6 times since CLSTR started tracking revisions of this situation.

What changed

2026-10-20 14:25 UTC → 2026-10-22 20:07 UTC · added ~~removed~~

Mass General Brigham has introduced new initiatives aimed at improving cancer diagnosis and patient prognosis through multidisciplinary coordination and artificial intelligence. The institution launched the Early Detection and Diagnosis Program (EDDx), led by oncology specialist Lecia Sequist, MD, MPH. This program utilizes a centralized model to coordinate oncologists, radiologists, and surgeons to address incidental findings in medical imaging, such as CT scans or MRIs, with the goal of accelerating the diagnostic process and providing longitudinal care. Following this, researchers at the same institution, in collaboration with partners such as Harvard Medical School, developed an artificial intelligence system called FAHR-Face. Published in The Lancet Digital Health, the tool uses two functions, FAHR-FaceAge and FAHR-FaceSurvival, to predict cancer survival rates and estimate biological age from a single facial photograph. The model was trained on over 40 million facial images across diverse ethnicities and ages. In testing involving 3,820 US cancer patients undergoing radiotherapy, the system demonstrated significant predictive ~~capabilities; more than half of those identified with~~ capabilities. FAHR-FaceAge estimates biological age by analyzing features such as the ~~highest risk scores died within 90 days of~~ forehead, temples, and wrinkles around the ~~photograph being taken. Findings indicated a correlation between facial appearance~~ mouth and ~~clinical outcomes. Specifically, those~~ nose; patients appearing at least five years older than their chronological age faced a 21% higher risk of ~~death, while~~ death. FAHR-FaceSurvival predicts survival chances by focusing on the area beneath the eyes and around the nasal bridge. In the study, patients in the highest-risk group were three times more likely to die during the study period compared to those ~~appearing five years younger had a 17% lower risk.~~ in the lowest-risk group. Researchers noted that lifestyle factors, including smoking, heavy alcohol use, and drug use, are visibly associated with increased biological aging in the face. The tool is intended to “provide objective, quantitative data to supplement clinical judgment rather than replace it,” potentially ~~serving as a scalable reference for personalized treatment and end-of-life care.~~ assisting clinicians in assessing physical resilience before recommending intensive treatments.

Versions

Only revisions since CLSTR began indexing content versions appear here. Select a version to see what changed compared to the one before it.