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Updated: Jan 22, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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在Fanconi贫血中使用机器学习预测骨髓状恶性细胞

Luis A Flores-Mejía1,2, Pablo Siliceo1,2,3, Ulises Juárez Figueroa4,5

  • 1Departamento de Medicina Genómica y Toxicología Ambiental, Universidad Nacional Autónoma de México, México.

PloS one
|January 20, 2026
PubMed
概括

研究人员开发了一个深度神经网络,以检测Fanconi贫血 (FA) 患者骨髓瘤恶性瘤的早期迹象. 该工具有助于监测高风险个体,以便及时干预急性髓性白血病 (AML) 等疾病.

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