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Yingxin Cai

As seen in: Wiley Online Library, MDPI
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Articles

Prognostic and Predictive Value of Machine Learning‐Based Biomarker and Pathomics Signatures in Patients With Prostate Cancer

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By Jianpeng Zhang, Jinyou Pan, Jingwei Lin, Yingxin Cai
| Wiley Online Library Verified
ADT androgen deprivation therapy AUC area under the curve BCR biochemical recurrence GS Gleason score H&E hematoxylin and eosin IHC immunohistochemistry MAPRS metastasis-associated prognostic risk score PCa prostate cancer PFS progression-free survival PSA prostate-specific antigen PSpc pathomics score of prostate cancer RFS recurrence-free survival ROC receiver operating characteristic RP radical prostatectomy RSF random survival forest TME tumor microenvironment 1 Introduction Prostate...
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A New Signature That Predicts Progression-Free Survival of Clear Cell Renal Cell Carcinoma with Anti-PD-1 Therapy

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By Yuxiang Ma, Jingwei Lin, Yingxin Cai, Jinyou Pan
| MDPI
1. Introduction As one of the world’s the most common cancers of the urinary system, it is reported that the number of new cases of renal cancer in the United States in 2022 is estimated to be about 79,000 and the number of deaths is about 13,920 [ 1 ]. The main pathological types of renal cell carcinoma are clear cell renal cell carcinoma (ccRCC), papillary renal cell carcinoma, chromophobe cell renal cell carcinoma, and so on.
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