522 related articles for article (PubMed ID: 31222577)
41. Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma.
Singh NP; Bapi RS; Vinod PK
Comput Biol Med; 2018 Sep; 100():92-99. PubMed ID: 29990647
[TBL] [Abstract][Full Text] [Related]
42. CXCL5/CXCR2 axis promotes bladder cancer cell migration and invasion by activating PI3K/AKT-induced upregulation of MMP2/MMP9.
Gao Y; Guan Z; Chen J; Xie H; Yang Z; Fan J; Wang X; Li L
Int J Oncol; 2015 Aug; 47(2):690-700. PubMed ID: 26058729
[TBL] [Abstract][Full Text] [Related]
43. Discovery and validation of potential urinary biomarkers for bladder cancer diagnosis using a pseudotargeted GC-MS metabolomics method.
Zhou Y; Song R; Ma C; Zhou L; Liu X; Yin P; Zhang Z; Sun Y; Xu C; Lu X; Xu G
Oncotarget; 2017 Mar; 8(13):20719-20728. PubMed ID: 28157703
[TBL] [Abstract][Full Text] [Related]
44. Unmasking the Metabolite Signature of Bladder Cancer: A Systematic Review.
Pereira F; Domingues MR; Vitorino R; Guerra IMS; Santos LL; Ferreira JA; Ferreira R
Int J Mol Sci; 2024 Mar; 25(6):. PubMed ID: 38542319
[TBL] [Abstract][Full Text] [Related]
45. Carbonic anhydrase IX as a diagnostic urinary marker for urothelial bladder cancer.
de Martino M; Lucca I; Mbeutcha A; Wiener HG; Haitel A; Susani M; Shariat SF; Klatte T
Eur Urol; 2015 Oct; 68(4):552-4. PubMed ID: 26138037
[TBL] [Abstract][Full Text] [Related]
46. Discriminating early- and late-stage cancers using multiple kernel learning on gene sets.
Rahimi A; Gönen M
Bioinformatics; 2018 Jul; 34(13):i412-i421. PubMed ID: 29949993
[TBL] [Abstract][Full Text] [Related]
47. Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
Li J; Chen Q; Hu X; Yuan P; Cui L; Tu L; Cui J; Huang J; Jiang T; Ma X; Yao X; Zhou C; Lu H; Xu J
Int J Med Inform; 2021 May; 149():104429. PubMed ID: 33647600
[TBL] [Abstract][Full Text] [Related]
48. [Correlation of genetic and cytogenetic alterations in pathological aggressiveness urothelial carcinoma of the bladder: Performance of BCA-1, a mini-array comparative genomic hybridisation-based test].
Léon P; Cancel Tassin G; Sighar K; Compérat E; Gaffory C; Ondet V; Hugonin S; Audouin M; Doizi S; Traxer O; Ciofu C; Rouprêt M; Lacave R; Cussenot O
Prog Urol; 2017; 27(8-9):451-457. PubMed ID: 28576425
[TBL] [Abstract][Full Text] [Related]
49. Identification of biomarkers for risk assessment of arsenicosis based on untargeted metabolomics and machine learning algorithms.
Zhang J; Ma L; Li B; Chen X; Wang D; Zhang A
Sci Total Environ; 2023 Apr; 870():161861. PubMed ID: 36716877
[TBL] [Abstract][Full Text] [Related]
50. Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomics profiles.
Kaur H; Bhalla S; Raghava GPS
PLoS One; 2019; 14(9):e0221476. PubMed ID: 31490960
[TBL] [Abstract][Full Text] [Related]
51. Increased expression of TRIP13 drives the tumorigenesis of bladder cancer in association with the EGFR signaling pathway.
Gao Y; Liu S; Guo Q; Zhang S; Zhao Y; Wang H; Li T; Gong Y; Wang Y; Zhang T; Dong Z; Bacich D; Chowdhury WH; Rodriguez R; Wang Z
Int J Biol Sci; 2019; 15(7):1488-1499. PubMed ID: 31337978
[TBL] [Abstract][Full Text] [Related]
52. Machine learning distilled metabolite biomarkers for early stage renal injury.
Guo Y; Yu H; Chen D; Zhao YY
Metabolomics; 2019 Dec; 16(1):4. PubMed ID: 31807893
[TBL] [Abstract][Full Text] [Related]
53. Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.
Yu L; Tao G; Zhu L; Wang G; Li Z; Ye J; Chen Q
BMC Cancer; 2019 May; 19(1):464. PubMed ID: 31101024
[TBL] [Abstract][Full Text] [Related]
54. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
[TBL] [Abstract][Full Text] [Related]
55. Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia.
Cao J; Li J; Gu Z; Niu JJ; An GS; Jin QQ; Wang YY; Huang P; Sun JH
Int J Legal Med; 2023 Jan; 137(1):169-180. PubMed ID: 35348878
[TBL] [Abstract][Full Text] [Related]
56. Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer.
Tan G; Wang H; Yuan J; Qin W; Dong X; Wu H; Meng P
Sci Rep; 2017 Apr; 7():46176. PubMed ID: 28382976
[TBL] [Abstract][Full Text] [Related]
57. Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors.
Wang H; Hu D; Yao H; Chen M; Li S; Chen H; Luo J; Feng Y; Guo Y
Eur Radiol; 2019 Nov; 29(11):6182-6190. PubMed ID: 31016445
[TBL] [Abstract][Full Text] [Related]
58. A machine learning approach to predict early outcomes after pituitary adenoma surgery.
Hollon TC; Parikh A; Pandian B; Tarpeh J; Orringer DA; Barkan AL; McKean EL; Sullivan SE
Neurosurg Focus; 2018 Nov; 45(5):E8. PubMed ID: 30453460
[TBL] [Abstract][Full Text] [Related]
59. Combined metabolomics with transcriptomics reveals potential plasma biomarkers correlated with non-small-cell lung cancer proliferation through the Akt pathway.
Zheng J; Zheng Y; Li W; Zhi J; Huang X; Zhu W; Liu Z; Gong L
Clin Chim Acta; 2022 May; 530():66-73. PubMed ID: 35245482
[TBL] [Abstract][Full Text] [Related]
60. Tissue metabolic profiling of human gastric cancer assessed by (1)H NMR.
Wang H; Zhang H; Deng P; Liu C; Li D; Jie H; Zhang H; Zhou Z; Zhao YL
BMC Cancer; 2016 Jun; 16():371. PubMed ID: 27356757
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]