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Researchers have validated a first-of-its-kind machine learning-based model to evaluate immunohistochemical characteristics in patients with suspected thyroid nodules, achieving 'excellent performance' for individualized noninvasive prediction of the presence of cytokeratin 19, galectin 3, and thyroperoxidase based upon CT images.
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