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AI model uses routine imaging to identify patients at risk for serious treatment-induced lung inflammation

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Researchers at The University of Texas MD Anderson Cancer Center have developed an artificial intelligence (AI) model that can identify lung cancer patients at increased risk of developing a serious immunotherapy-related side effect before treatment begins, offering a possible path toward more personalized monitoring and prevention strategies.


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