Deep-learning model analyzes CT scans to reveal thymus health's impact on cancer risk and therapy outcomes.
A deep-learning model applied to chest CT scans reveals that variation in thymus health tracks with both cancer susceptibility and clinical response after treatment with checkpoint inhibitors. The findings point to routine imaging data as a scalable approach to risk assessment and therapy selection, and highlight the underappreciated role of thymic function in shaping cancer outcomes.
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A 2026 study studied this question.
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