# Mass General Brigham cancer research developments > Live situation record from CLSTR: https://clstr.news/situations/mass-general-brigham-cancer-research-developments > Updated: 2026-10-19T22:30:00.000Z. Sources: 56. Developments: 2. 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. FAHR-FaceAge estimates biological age by analyzing features such as the forehead, temples, and wrinkles around the mouth and nose; patients appearing at least five years older than their chronological age faced a 21% higher risk of 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 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 assisting clinicians in assessing physical resilience before recommending intensive treatments. ## Claims - The AI model was trained using more than 40 million facial images. (corroborated by 35 sources) - The AI system includes two tools: FAHR-FaceAge and FAHR-FaceSurvival. (corroborated by 32 sources) - The FAHR-FaceSurvival tool predicts cancer survival directly without age estimation. (corroborated by 28 sources) - The FAHR-FaceAge tool estimates biological age based on facial features. (corroborated by 23 sources) - Researchers developed an AI tool capable of predicting cancer patient survival rates from a single facial photograph. (corroborated by 21 sources) - The tool can estimate a person's biological age. (corroborated by 19 sources) - The AI tool's age estimation error is approximately five years. (corroborated by 13 sources) - Smoking showed the strongest pattern of facial aging in the study. (corroborated by 12 sources) - Patients appearing at least five years older than their chronological age had a 21% higher risk of death among those undergoing radiotherapy. (corroborated by 8 sources) - The mortality rate for the highest risk group was more than three times higher than the lowest risk group. (corroborated by 7 sources) - Mass General Brigham researchers developed AI tools to estimate cancer patient survival using facial photos. (corroborated by 6 sources) - The AI system was trained on a database of over 40 million portraits. (corroborated by 6 sources) ## Timeline ### 2026-10-19: Mass General Brigham researchers develop AI to predict cancer survival from facial photos Mass General Brigham researchers developed FAHR-Face, an AI system that uses facial photos to estimate biological age and predict cancer survival risks to assist in treatment planning. 54 sources. https://clstr.news/cluster/mass-general-brigham-researchers-develop-ai-to-predict-cancer-survival-from-facial-photos ### 2026-10-14: Mass General Brigham launches EDDx program for early cancer detection Mass General Brigham has launched the EDDx program, a centralized multidisciplinary model designed to accelerate cancer diagnosis following incidental findings in medical imaging. 2 sources. https://clstr.news/cluster/mass-general-brigham-launches-eddx-program-for-early-cancer-detection --- Cite as: Mass General Brigham cancer research developments. CLSTR, https://clstr.news/situations/mass-general-brigham-cancer-research-developments