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Updated: Feb 14, 2026

Predictive Immune Modeling of Solid Tumors
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走向强大的和可通用的放射性基因组学预测模型来描述脑瘤的特征.

Maria Nadeem1, Asma Shaheen1, Muhammad F A Chaudhary1

  • 1From the Department of Mathematics (M.N.), School of Science and Engineering; department of Mathematics, Computer Science, and Physics (A.S.), University of Udine; The Roy J. Carver Department of Biomedical Engineering (M.F.A.C.), The University of Iowa; and Department of Electrical Engineering, School of Science and Engineering (H.M.-uD.), LUMS.

AJNR. American journal of neuroradiology
|February 12, 2026
PubMed
概括

高稳定的放射性特征,主要是基于整个瘤区域的纹理,改善了脑瘤特征模型. 这种稳定性提高了放射遗传学预测的概括性,从而导致更强大的诊断工具.

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