混合机械数学建模与深度学习方法,以预测免疫检查点抑制剂治疗后个体癌症患者的存活率

Joseph D Butner1,2,3, Prashant Dogra4,5, Caroline Chung1,2

  • 1Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Research square
|April 8, 2024
PubMed
概括

将机械模型与深度学习相结合,可以改善免疫检查点抑制剂 (ICI) 治疗患者的生存预测. 这种混合方法通过整合模型衍生和临床数据来提高准确性,以获得更好的治疗结果.

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