BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 36226243)

  • 1. Establishment and Validation of a Machine Learning Prediction Model Based on Big Data for Predicting the Risk of Bone Metastasis in Renal Cell Carcinoma Patients.
    Xu C; Liu W; Yin C; Li W; Liu J; Sheng W; Tang H; Li W; Zhang Q
    Comput Math Methods Med; 2022; 2022():5676570. PubMed ID: 36226243
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning.
    Wang Z; Xu C; Liu W; Zhang M; Zou J; Shao M; Feng X; Yang Q; Li W; Shi X; Zang G; Yin C
    Front Endocrinol (Lausanne); 2022; 13():1083569. PubMed ID: 36686417
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Construction and Validation of a new Predictive Model for Overall Survival of Clear Cell Renal Cell Carcinoma Patients with Bone Metastasis Based on Machine Learning Algorithm.
    Le Y; Xu W; Guo W
    Technol Cancer Res Treat; 2023; 22():15330338231165131. PubMed ID: 37078130
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of bone metastasis in non-small cell lung cancer based on machine learning.
    Li MP; Liu WC; Sun BL; Zhong NS; Liu ZL; Huang SH; Zhang ZH; Liu JM
    Front Oncol; 2022; 12():1054300. PubMed ID: 36698411
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma.
    Feng X; Hong T; Liu W; Xu C; Li W; Yang B; Song Y; Li T; Li W; Zhou H; Yin C
    Front Endocrinol (Lausanne); 2022; 13():1054358. PubMed ID: 36465636
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Risk Factors for Brain Metastases in Patients with Renal Cell Carcinoma.
    Ke ZB; Chen SH; Chen YH; Wu YP; Lin F; Xue XY; Zheng QS; Xu N; Wei Y
    Biomed Res Int; 2020; 2020():6836234. PubMed ID: 32219138
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study.
    Zhang Y; Yi X; Tang Z; Xie P; Yin N; Deng Q; Zhu L; Luo H; Peng K
    Front Public Health; 2023; 11():1104931. PubMed ID: 37033061
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
    Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
    Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A machine learning-based model for clinical prediction of distal metastasis in chondrosarcoma: a multicenter, retrospective study.
    Wei J; Lu S; Liu W; Liu H; Feng L; Tao Y; Pu Z; Liu Q; Hu Z; Wang H; Li W; Kang W; Yin C; Feng Z
    PeerJ; 2023; 11():e16485. PubMed ID: 38130920
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dynamic Predictive Models with Visualized Machine Learning for Assessing the Risk of Lung Metastasis in Kidney Cancer Patients.
    Xu C; Zhou Q; Liu W; Li W; Dong S; Li W; Xu X; Qiao X; Jiang Y; Chen J; Yin C
    J Oncol; 2022; 2022():5798602. PubMed ID: 36276292
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer.
    Liu WC; Li MX; Qian WX; Luo ZW; Liao WJ; Liu ZL; Liu JM
    Cancer Manag Res; 2021; 13():8723-8736. PubMed ID: 34849027
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of machine learning algorithm in prediction of lymph node metastasis in patients with intermediate and high-risk prostate cancer.
    Wang X; Zhang X; Li H; Zhang M; Liu Y; Li X
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):8759-8768. PubMed ID: 37127828
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The Development of Brain Metastases in Patients with Renal Cell Carcinoma: Epidemiologic Trends, Survival, and Clinical Risk Factors Using a Population-based Cohort.
    Sun M; De Velasco G; Brastianos PK; Aizer AA; Martin A; Moreira R; Nguyen PL; Trinh QD; Choueiri TK
    Eur Urol Focus; 2019 May; 5(3):474-481. PubMed ID: 29311016
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bone Metastasis in Renal Cell Carcinoma Patients: Risk and Prognostic Factors and Nomograms.
    Fan Z; Huang Z; Huang X
    J Oncol; 2021; 2021():5575295. PubMed ID: 34054954
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using Machine Learning Methods to Predict Bone Metastases in Breast Infiltrating Ductal Carcinoma Patients.
    Liu WC; Li MX; Wu SN; Tong WL; Li AA; Sun BL; Liu ZL; Liu JM
    Front Public Health; 2022; 10():922510. PubMed ID: 35875050
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine Learning-Based Prediction of Lymph Node Metastasis Among Osteosarcoma Patients.
    Li W; Liu Y; Liu W; Tang ZR; Dong S; Li W; Zhang K; Xu C; Hu Z; Wang H; Lei Z; Liu Q; Guo C; Yin C
    Front Oncol; 2022; 12():797103. PubMed ID: 35515104
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Construction and Validation of a Convenient Clinical Nomogram to Predict the Risk of Brain Metastasis in Renal Cell Carcinoma Patients.
    Tong Y; Huang Z; Hu C; Chi C; Lv M; Song Y
    Biomed Res Int; 2020; 2020():9501760. PubMed ID: 33282957
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and Validation of a Nomogram to Predict Distant Metastasis in Elderly Patients With Renal Cell Carcinoma.
    Wang J; Zhanghuang C; Tan X; Mi T; Liu J; Jin L; Li M; Zhang Z; He D
    Front Public Health; 2021; 9():831940. PubMed ID: 35155365
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A machine learning-based model for predicting distant metastasis in patients with rectal cancer.
    Qiu B; Shen Z; Wu S; Qin X; Yang D; Wang Q
    Front Oncol; 2023; 13():1235121. PubMed ID: 37655097
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing's Sarcoma.
    Li W; Zhou Q; Liu W; Xu C; Tang ZR; Dong S; Wang H; Li W; Zhang K; Li R; Zhang W; Hu Z; Shibin S; Liu Q; Kuang S; Yin C
    Front Med (Lausanne); 2022; 9():832108. PubMed ID: 35463005
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.