These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

176 related articles for article (PubMed ID: 37675331)

  • 1. Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma.
    Bezjak M; Kocman B; Jadrijević S; Filipec Kanižaj T; Antonijević M; Dalbelo Bašić B; Mikulić D
    Ann Transl Med; 2023 Aug; 11(10):345. PubMed ID: 37675331
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning Approach.
    Ivanics T; Nelson W; Patel MS; Claasen MPAW; Lau L; Gorgen A; Abreu P; Goldenberg A; Erdman L; Sapisochin G
    Liver Transpl; 2022 Apr; 28(4):593-602. PubMed ID: 34626159
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Application value of machine learning algorithms for predicting recurrence after resection of early-stage hepatocellular carcinoma].
    Ji GW; Wang K; Xia YX; Li XC; Wang XH
    Zhonghua Wai Ke Za Zhi; 2021 Aug; 59(8):679-685. PubMed ID: 34192861
    [No Abstract]   [Full Text] [Related]  

  • 4. Homocysteine: A novel prognostic biomarker in liver transplantation for alpha-fetoprotein- negative hepatocellular carcinoma.
    Yang M; Tan W; Yang X; Zhuo J; Lin Z; Cen B; Lian Z; Li H; Lu D; Wei X; Zheng S; Xu X
    Cancer Biomark; 2020; 29(2):197-206. PubMed ID: 32623388
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel prognostic nomogram accurately predicts hepatocellular carcinoma recurrence after liver transplantation: analysis of 865 consecutive liver transplant recipients.
    Agopian VG; Harlander-Locke M; Zarrinpar A; Kaldas FM; Farmer DG; Yersiz H; Finn RS; Tong M; Hiatt JR; Busuttil RW
    J Am Coll Surg; 2015 Apr; 220(4):416-27. PubMed ID: 25690672
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of the HALT-HCC score to predict mortality in liver transplant recipients with hepatocellular carcinoma: a retrospective cohort analysis.
    Sasaki K; Firl DJ; Hashimoto K; Fujiki M; Diago-Uso T; Quintini C; Eghtesad B; Fung JJ; Aucejo FN; Miller CM
    Lancet Gastroenterol Hepatol; 2017 Aug; 2(8):595-603. PubMed ID: 28546007
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study.
    Yang X; Qiu H; Wang L; Wang X
    J Med Internet Res; 2023 Oct; 25():e44417. PubMed ID: 37883174
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A 10-year experience of liver transplantation for hepatitis C: analysis of factors determining outcome in over 500 patients.
    Ghobrial RM; Steadman R; Gornbein J; Lassman C; Holt CD; Chen P; Farmer DG; Yersiz H; Danino N; Collisson E; Baquarizo A; Han SS; Saab S; Goldstein LI; Donovan JA; Esrason K; Busuttil RW
    Ann Surg; 2001 Sep; 234(3):384-93; discussion 393-4. PubMed ID: 11524591
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Validation of a Risk Estimation of Tumor Recurrence After Transplant (RETREAT) Score for Hepatocellular Carcinoma Recurrence After Liver Transplant.
    Mehta N; Heimbach J; Harnois DM; Sapisochin G; Dodge JL; Lee D; Burns JM; Sanchez W; Greig PD; Grant DR; Roberts JP; Yao FY
    JAMA Oncol; 2017 Apr; 3(4):493-500. PubMed ID: 27838698
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A radiomics-based model can predict recurrence-free survival of hepatocellular carcinoma after curative ablation.
    Peng W; Jiang X; Zhang W; Hu J; Zhang Y; Zhang L
    Asian J Surg; 2023 Jul; 46(7):2689-2696. PubMed ID: 36351862
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Machine Learning-Based Model to Predict Survival After Transarterial Chemoembolization for BCLC Stage B Hepatocellular Carcinoma.
    Lin H; Zeng L; Yang J; Hu W; Zhu Y
    Front Oncol; 2021; 11():608260. PubMed ID: 33738252
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial intelligence for predicting survival following deceased donor liver transplantation: Retrospective multi-center study.
    Yu YD; Lee KS; Man Kim J; Ryu JH; Lee JG; Lee KW; Kim BW; Kim DS;
    Int J Surg; 2022 Sep; 105():106838. PubMed ID: 36028137
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inflammation scores predict the survival of patients with hepatocellular carcinoma who were treated with transarterial chemoembolization and recombinant human type-5 adenovirus H101.
    He CB; Lin XJ
    PLoS One; 2017; 12(3):e0174769. PubMed ID: 28355305
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Use of survival support vector machine combined with random survival forest to predict the survival of nasopharyngeal carcinoma patients.
    Xiao Z; Song Q; Wei Y; Fu Y; Huang D; Huang C
    Transl Cancer Res; 2023 Dec; 12(12):3581-3590. PubMed ID: 38192980
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dynamic α-Fetoprotein Response and Outcomes After Liver Transplant for Hepatocellular Carcinoma.
    Halazun KJ; Rosenblatt RE; Mehta N; Lai Q; Hajifathalian K; Gorgen A; Brar G; Sasaki K; Doyle MBM; Tabrizian P; Agopian VG; Najjar M; Ivanics T; Samstein B; Brown RS; Emond JC; Yao F; Lerut J; Rossi M; Mennini G; Iesari S; Finkenstedt A; Schaefer B; Mittler J; Hoppe-Lotichius M; Quintini C; Aucejo F; Chapman W; Sapisochin G
    JAMA Surg; 2021 Jun; 156(6):559-567. PubMed ID: 33950167
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Which model is better in predicting the survival of laryngeal squamous cell carcinoma?: Comparison of the random survival forest based on machine learning algorithms to Cox regression: analyses based on SEER database.
    Sun H; Wu S; Li S; Jiang X
    Medicine (Baltimore); 2023 Mar; 102(10):e33144. PubMed ID: 36897699
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Poor prognosis for hepatocellular carcinoma with transarterial chemoembolization pre-transplantation: retrospective analysis.
    Li HL; Ji WB; Zhao R; Duan WD; Chen YW; Wang XQ; Yu Q; Luo Y; Dong JH
    World J Gastroenterol; 2015 Mar; 21(12):3599-606. PubMed ID: 25834326
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Incidence and risk factors of hepatocellular carcinoma recurrence after liver transplantation in the MELD era.
    Sharma P; Welch K; Hussain H; Pelletier SJ; Fontana RJ; Marrero J; Merion RM
    Dig Dis Sci; 2012 Mar; 57(3):806-12. PubMed ID: 21953139
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Alpha-fetoprotein level > 1000 ng/mL as an exclusion criterion for liver transplantation in patients with hepatocellular carcinoma meeting the Milan criteria.
    Hameed B; Mehta N; Sapisochin G; Roberts JP; Yao FY
    Liver Transpl; 2014 Aug; 20(8):945-51. PubMed ID: 24797281
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.