Establish TIIC signature score based the machine learning fusion in bladder cancer
Establish TIIC signature score based the machine learning fusion in bladder cancer
About this item
Full title
Author / Creator
Zeng, Xiangju , Lu, Zhijie , Dai, Caixia , Su, Hao , Liu, Ziqi and Cheng, Shunhua
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Background
Bladder cancer is a prevalent malignant tumor with high heterogeneity. Current treatments, such as transurethral resection of bladder tumor (TURBT) and intravesical Bacillus Calmette-Guérin (BCG) therapy, still have limitations, with approximately 30% of non-muscle-invasive bladder cancer (NMIBC) progressing to muscle-invasive bladder...
Alternative Titles
Full title
Establish TIIC signature score based the machine learning fusion in bladder cancer
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e121248d51a0496aac0b3ec3b2141fb7
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e121248d51a0496aac0b3ec3b2141fb7
Other Identifiers
ISSN
2730-6011
E-ISSN
2730-6011
DOI
10.1007/s12672-024-01187-7
