Mass General Brigham researchers used AI to assess thymic health on CT scans, revealing strong links to longevity, disease risk, and cancer treatment outcomes.
Key Details
- 1AI deep learning model analyzed routine CT scans of over 25,000 adults to score thymic health.
- 2High thymic health scores associated with ~50% lower all-cause mortality, 63% lower cardiovascular mortality, 36% lower lung cancer risk.
- 3Second study of 1,200+ cancer patients: healthier thymus linked to 37% lower risk of cancer progression and 44% lower risk of death after immunotherapy.
- 4Chronic inflammation, smoking, and high BMI correlated with poorer thymic health.
- 5Findings published in Nature; imaging method not yet ready for clinical use.
- 6Research funded by multiple major agencies (NIH, ERC, DFG, and others).
Why It Matters
These studies highlight how advanced imaging analysis with AI can uncover novel prognostic biomarkers from routine scans, supporting the role of radiology in personalized medicine and expanding screening or treatment stratification possibilities.
Source
EurekAlert
Related News
•EurekAlert
AI Model 'CMR-CLIP' Raises Cardiac MRI Interpretation Accuracy
CMR-CLIP, a novel AI model, significantly improves cardiac MRI interpretation by learning from clinical reports instead of manual labels.
•EurekAlert
AI Stretchable Computing Patch Enables Real-Time On-Body Health Analysis
University of Chicago engineers introduce a stretchable skin patch that applies AI to instantly analyze health data on the body.
•EurekAlert
MD Anderson Names Albert Koong, MD, PhD, as Chief Scientific Officer
Albert Koong, MD, PhD, becomes the new Chief Scientific Officer at UT MD Anderson Cancer Center.