BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 37393130)

  • 1. Development of machine learning models to predict lymph node metastases in major salivary gland cancers.
    Costantino A; Canali L; Festa BM; Kim SH; Spriano G; De Virgilio A
    Eur J Surg Oncol; 2023 Sep; 49(9):106965. PubMed ID: 37393130
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Interpretable machine learning-based clinical prediction model for predicting lymph node metastasis in patients with intrahepatic cholangiocarcinoma.
    Xie H; Hong T; Liu W; Jia X; Wang L; Zhang H; Xu C; Zhang X; Li WL; Wang Q; Yin C; Lv X
    BMC Gastroenterol; 2024 Apr; 24(1):137. PubMed ID: 38641789
    [TBL] [Abstract][Full Text] [Related]  

  • 4. LASSO-based machine learning models for the prediction of central lymph node metastasis in clinically negative patients with papillary thyroid carcinoma.
    Feng JW; Ye J; Qi GF; Hong LZ; Wang F; Liu SY; Jiang Y
    Front Endocrinol (Lausanne); 2022; 13():1030045. PubMed ID: 36506061
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Machine learning predicts lymph node metastasis of poorly differentiated-type intramucosal gastric cancer.
    Zhou CM; Wang Y; Ye HT; Yan S; Ji M; Liu P; Yang JJ
    Sci Rep; 2021 Jan; 11(1):1300. PubMed ID: 33446730
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Application of machine learning techniques in real-world research to predict the risk of liver metastasis in rectal cancer.
    Qiu B; Su XH; Qin X; Wang Q
    Front Oncol; 2022; 12():1065468. PubMed ID: 36605425
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer.
    Ding L; Wang K; Zhang C; Zhang Y; Wang K; Li W; Wang J
    Front Public Health; 2022; 10():916513. PubMed ID: 35844840
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Anatomic extent of lymph node metastases as an independent prognosticator in node-positive major salivary gland carcinoma: A study of the US SEER database and a Chinese multicenter cohort.
    Shi X; Liu XK; An CM; Wei WJ; Tao Y; Ji Y; Zhang Y; Han W; Xue JC; Huang NS; Ma B; Zhang CP; Yang X; Wang KJ; Liu QJ; Liu Y; Wang Y; Lei BW; Yu PC; Hu JQ; Lu ZW; Hu WP; Tian YX; Wang YL; Ji QH
    Eur J Surg Oncol; 2019 Nov; 45(11):2143-2150. PubMed ID: 31253544
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The number and ratio of positive lymph nodes are independent prognostic factors for patients with major salivary gland cancer: Results from the surveillance, epidemiology, and End Results dataset.
    Qian K; Sun W; Guo K; Zheng X; Sun T; Chen L; Xiang J; Li D; Wu Y; Ji Q; Wang Z
    Eur J Surg Oncol; 2019 Jun; 45(6):1025-1032. PubMed ID: 30472214
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial intelligence based system for predicting permanent stoma after sphincter saving operations.
    Kuo CY; Kuo LJ; Lin YK
    Sci Rep; 2023 Sep; 13(1):16039. PubMed ID: 37749194
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An easy-to-use artificial intelligence preoperative lymph node metastasis predictor (LN-MASTER) in rectal cancer based on a privacy-preserving computing platform: multicenter retrospective cohort study.
    Guan X; Yu G; Zhang W; Wen R; Wei R; Jiao S; Zhao Q; Lou Z; Hao L; Liu E; Gao X; Wang G; Zhang W; Wang X
    Int J Surg; 2023 Mar; 109(3):255-265. PubMed ID: 36927812
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
    Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
    BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. A comparative analysis of eight machine learning models for the prediction of lateral lymph node metastasis in patients with papillary thyroid carcinoma.
    Feng JW; Ye J; Qi GF; Hong LZ; Wang F; Liu SY; Jiang Y
    Front Endocrinol (Lausanne); 2022; 13():1004913. PubMed ID: 36387877
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.
    Huang Y; Mao Y; Xu L; Wen J; Chen G
    BMC Endocr Disord; 2022 Nov; 22(1):269. PubMed ID: 36329470
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.