The radiomics features of disease lesions can be learned from medical imaging data, but is it possible to identify interpretable biomarkers that can help make clinical predictions across heterogeneous diseases and data from different modalities?

中文翻译：

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机器智能启用的放射组学

可以从医学影像数据中学习疾病病变的放射组学特征，但是否有可能识别出可解释的生物标志物，以帮助对异质性疾病和来自不同模式的数据进行临床预测？