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 *

151 related articles for article (PubMed ID: 35640390)

  • 1. Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer.
    Sun C; Li B; Wei G; Qiu W; Li D; Li X; Liu X; Wei W; Wang S; Liu Z; Tian J; Liang L
    Comput Methods Programs Biomed; 2022 Jun; 221():106914. PubMed ID: 35640390
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and Validation of a Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer: A Multicenter, Retrospective Study.
    Jiang Y; Jin C; Yu H; Wu J; Chen C; Yuan Q; Huang W; Hu Y; Xu Y; Zhou Z; Fisher GA; Li G; Li R
    Ann Surg; 2021 Dec; 274(6):e1153-e1161. PubMed ID: 31913871
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Construction and validation of a deep learning prognostic model based on digital pathology images of stage III colorectal cancer.
    Zhou X; Lu Y; Wu Y; Yu Y; Liu Y; Wang C; Zhao Z; Wang C; Gao Z; Li Z; Zhao Y; Cao W
    Eur J Surg Oncol; 2024 Jul; 50(7):108369. PubMed ID: 38703632
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer.
    Li X; Jonnagaddala J; Yang S; Zhang H; Xu XS
    J Cancer Res Clin Oncol; 2022 Aug; 148(8):1955-1963. PubMed ID: 35332389
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Exploring prognostic biomarkers in pathological images of colorectal cancer patients via deep learning.
    Wei B; Li L; Feng Y; Liu S; Fu P; Tian L
    J Pathol Clin Res; 2024 Nov; 10(6):e70003. PubMed ID: 39343999
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The pathological risk score: A new deep learning-based signature for predicting survival in cervical cancer.
    Chen C; Cao Y; Li W; Liu Z; Liu P; Tian X; Sun C; Wang W; Gao H; Kang S; Wang S; Jiang J; Chen C; Tian J
    Cancer Med; 2023 Jan; 12(2):1051-1063. PubMed ID: 35762423
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer.
    Zhao K; Li Z; Yao S; Wang Y; Wu X; Xu Z; Wu L; Huang Y; Liang C; Liu Z
    EBioMedicine; 2020 Nov; 61():103054. PubMed ID: 33039706
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification and Construction of Combinatory Cancer Hallmark-Based Gene Signature Sets to Predict Recurrence and Chemotherapy Benefit in Stage II Colorectal Cancer.
    Gao S; Tibiche C; Zou J; Zaman N; Trifiro M; O'Connor-McCourt M; Wang E
    JAMA Oncol; 2016 Jan; 2(1):37-45. PubMed ID: 26502222
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Elevated tumor-to-liver uptake ratio (TLR) from
    Huang J; Huang L; Zhou J; Duan Y; Zhang Z; Wang X; Huang P; Tan S; Hu P; Wang J; Huang M
    Eur J Nucl Med Mol Imaging; 2017 Nov; 44(12):1958-1968. PubMed ID: 28812134
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of an EMT-related Gene Signature Predicting Recurrence in Stage II/III Colorectal Cancer: A Retrospective Study in 1780 Patients.
    Ren H; Bösch F; Pretzsch E; Jacob S; Westphalen CB; Walter Holch J; Werner J; Angele MK
    Ann Surg; 2022 Nov; 276(5):897-904. PubMed ID: 35880752
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The inflammation-nutrition score supports the prognostic prediction of the TNM stage for colorectal cancer patients after curative resection.
    Fujino S; Myoshi N; Saso K; Sasaki M; Ishikawa S; Takahashi Y; Yasui M; Ohue M; Hata T; Matsuda C; Mizushima T; Mori M; Doki Y
    Surg Today; 2020 Feb; 50(2):163-170. PubMed ID: 31414182
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A clinical decision support system optimising adjuvant chemotherapy for colorectal cancers by integrating deep learning and pathological staging markers: a development and validation study.
    Kleppe A; Skrede OJ; De Raedt S; Hveem TS; Askautrud HA; Jacobsen JE; Church DN; Nesbakken A; Shepherd NA; Novelli M; Kerr R; Liestøl K; Kerr DJ; Danielsen HE
    Lancet Oncol; 2022 Sep; 23(9):1221-1232. PubMed ID: 35964620
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-Size Deep Learning Based Preoperative Computed Tomography Signature for Prognosis Prediction of Colorectal Cancer.
    Li CH; Cai D; Zhong ME; Lv MY; Huang ZP; Zhu Q; Hu C; Qi H; Wu X; Gao F
    Front Genet; 2022; 13():880093. PubMed ID: 35646105
    [No Abstract]   [Full Text] [Related]  

  • 14. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.
    Jiang Y; Zhang Z; Yuan Q; Wang W; Wang H; Li T; Huang W; Xie J; Chen C; Sun Z; Yu J; Xu Y; Poultsides GA; Xing L; Zhou Z; Li G; Li R
    Lancet Digit Health; 2022 May; 4(5):e340-e350. PubMed ID: 35461691
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Association of Tumor-Associated Collagen Signature With Prognosis and Adjuvant Chemotherapy Benefits in Patients With Gastric Cancer.
    Chen D; Chen H; Chi L; Fu M; Wang G; Wu Z; Xu S; Sun C; Xu X; Lin L; Cheng J; Jiang W; Dong X; Lu J; Zheng J; Chen G; Li G; Zhuo S; Yan J
    JAMA Netw Open; 2021 Nov; 4(11):e2136388. PubMed ID: 34846524
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Clinical significance of circulating tumor cells, including cancer stem-like cells, in peripheral blood for recurrence and prognosis in patients with Dukes' stage B and C colorectal cancer.
    Iinuma H; Watanabe T; Mimori K; Adachi M; Hayashi N; Tamura J; Matsuda K; Fukushima R; Okinaga K; Sasako M; Mori M
    J Clin Oncol; 2011 Apr; 29(12):1547-55. PubMed ID: 21422427
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomogram for predicting overall survival in stage II-III colorectal cancer.
    Liu J; Huang X; Yang W; Li C; Li Z; Zhang C; Chen S; Wu G; Xie W; Wei C; Tian C; Huang L; Jeen F; Mo X; Tang W
    Cancer Med; 2020 Apr; 9(7):2363-2371. PubMed ID: 32027098
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel deep learning prognostic system improves survival predictions for stage III non-small cell lung cancer.
    Yang L; Fan X; Qin W; Xu Y; Zou B; Fan B; Wang S; Dong T; Wang L
    Cancer Med; 2022 Nov; 11(22):4246-4255. PubMed ID: 35491970
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Impact of tumor deposits on the prognosis and chemotherapy efficacy in stage III colorectal cancer patients with different lymph node status: A retrospective cohort study in China.
    Li X; An B; Zhao Q; Qi J; Wang W; Zhang D; Li Z; Qin C
    Int J Surg; 2018 Aug; 56():188-194. PubMed ID: 29936197
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting 5-year recurrence risk in colorectal cancer: development and validation of a histology-based deep learning approach.
    Xiao H; Weng Z; Sun K; Shen J; Lin J; Chen S; Li B; Shi Y; Kuang M; Song X; Weng W; Peng S
    Br J Cancer; 2024 Apr; 130(6):951-960. PubMed ID: 38245662
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.