BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

203 related articles for article (PubMed ID: 35433754)

  • 21. 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]  

  • 22. 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]  

  • 23. Using machine learning techniques predicts prognosis of patients with Ewing sarcoma.
    Chen W; Zhou C; Yan Z; Chen H; Lin K; Zheng Z; Xu W
    J Orthop Res; 2021 Nov; 39(11):2519-2527. PubMed ID: 33458857
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Development and validation of an early diagnosis model for bone metastasis in non-small cell lung cancer based on serological characteristics of the bone metastasis mechanism.
    Teng X; Han K; Jin W; Ma L; Wei L; Min D; Chen L; Du Y
    EClinicalMedicine; 2024 Jun; 72():102617. PubMed ID: 38707910
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.
    Liu WC; Li ZQ; Luo ZW; Liao WJ; Liu ZL; Liu JM
    Cancer Med; 2021 Apr; 10(8):2802-2811. PubMed ID: 33709570
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Score for the Risk and Overall Survival of Lung Metastasis in Patients First Diagnosed With Soft Tissue Sarcoma: A Novel Nomogram-Based Risk Assessment System.
    Fan Z; Chi C; Tong Y; Huang Z; Song Y; You S
    Technol Cancer Res Treat; 2022; 21():15330338211066240. PubMed ID: 35006028
    [No Abstract]   [Full Text] [Related]  

  • 28. Risk Assessment of Bone Metastasis for Cervical Cancer Patients by Multiple Models: A Large Population Based Real-World Study.
    Han Y; Wang B; Zhang J; Zhou S; Dai J; Wu M; Li Y; Wang S
    Front Med (Lausanne); 2021; 8():725298. PubMed ID: 34676225
    [No Abstract]   [Full Text] [Related]  

  • 29. 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]  

  • 30. Construction and validation of nomograms for non-metastatic Ewing sarcoma: A prognostic factor analysis based on the SEER database.
    Huang R; Han D; Shi C; Yan P; Hu P; Zhu X; Yin H; Meng T; Huang Z
    Oncol Lett; 2021 Nov; 22(5):777. PubMed ID: 34594418
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Clinical-radiomics models based on plain X-rays for prediction of lung metastasis in patients with osteosarcoma.
    Yin P; Zhong J; Liu Y; Liu T; Sun C; Liu X; Cui J; Chen L; Hong N
    BMC Med Imaging; 2023 Mar; 23(1):40. PubMed ID: 36959569
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning.
    Zhong X; Lin Y; Zhang W; Bi Q
    Sci Rep; 2023 Oct; 13(1):18301. PubMed ID: 37880320
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A Novel Nomogram for Prediction and Evaluation of Lymphatic Metastasis in Patients With Renal Cell Carcinoma.
    Li W; Wang B; Dong S; Xu C; Song Y; Qiao X; Xu X; Huang M; Yin C
    Front Oncol; 2022; 12():851552. PubMed ID: 35480102
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine learning for predicting liver and/or lung metastasis in colorectal cancer: A retrospective study based on the SEER database.
    Guo Z; Zhang Z; Liu L; Zhao Y; Liu Z; Zhang C; Qi H; Feng J; Yang C; Tai W; Banchini F; Inchingolo R
    Eur J Surg Oncol; 2024 Apr; 50(7):108362. PubMed ID: 38704899
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A nomogram for determining the disease-specific survival in Ewing sarcoma: a population study.
    Zhang J; Pan Z; Yang J; Yan X; Li Y; Lyu J
    BMC Cancer; 2019 Jul; 19(1):667. PubMed ID: 31277591
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Application of machine learning algorithms to predict lymph node metastasis in gastric neuroendocrine neoplasms.
    Liu L; Liu W; Jia Z; Li Y; Wu H; Qu S; Zhu J; Liu X; Xu C
    Heliyon; 2023 Oct; 9(10):e20928. PubMed ID: 37928390
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Risk Assessment of Liver Metastasis in Pancreatic Cancer Patients Using Multiple Models Based on Machine Learning: A Large Population-Based Study.
    Li Q; Bai L; Xing J; Liu X; Liu D; Hu X
    Dis Markers; 2022; 2022():1586074. PubMed ID: 35634443
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Development of machine learning model algorithm for prediction of 5-year soft tissue myxoid liposarcoma survival.
    Kamalapathy PN; Ramkumar DB; Karhade AV; Kelly S; Raskin K; Schwab J; Lozano-Calderón S
    J Surg Oncol; 2021 Jun; 123(7):1610-1617. PubMed ID: 33684246
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A nomogram for predicting overall survival in patients with Ewing sarcoma: a SEER-based study.
    Zhou Z; Wang J; Fang L; Ma J; Guo M
    BMC Musculoskelet Disord; 2020 Nov; 21(1):737. PubMed ID: 33183244
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Predicting Survival of Patients With Rectal Neuroendocrine Tumors Using Machine Learning: A SEER-Based Population Study.
    Cheng X; Li J; Xu T; Li K; Li J
    Front Surg; 2021; 8():745220. PubMed ID: 34805260
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.