Multi-omics predictive model based on clinical, radiomic and genomic features for predicting the response of limited-stage small cell lung cancer to definitive chemoradiotherapy

Li Li , Jinghao Duan , Yongsheng Gao , Ying Yin , Fengchang Yang , Wenjie Tang , Xiaoyu Song , Tao Hu , Jinfeng Cui , Jinming Yu , Shuanghu Yuan

Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (1) : e1522

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Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (1) : e1522 DOI: 10.1002/ctm2.1522
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Multi-omics predictive model based on clinical, radiomic and genomic features for predicting the response of limited-stage small cell lung cancer to definitive chemoradiotherapy

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Li Li,Jinghao Duan,Yongsheng Gao,Ying Yin,Fengchang Yang,Wenjie Tang,Xiaoyu Song,Tao Hu,Jinfeng Cui,Jinming Yu,Shuanghu Yuan. Multi-omics predictive model based on clinical, radiomic and genomic features for predicting the response of limited-stage small cell lung cancer to definitive chemoradiotherapy. Clinical and Translational Medicine, 2024, 14(1): e1522 DOI:10.1002/ctm2.1522

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2024 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

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