- Title: Subtitle
- PD30-03 PREDICTING RESPONSE TO INTRAVESICAL BCG IN HIGH RISK NON-MUSCLE INVASIVE BLADDER CANCER USING AN ARTIFICIAL INTELLIGENCE-POWERED PATHOLOGY ASSAY: DEVELOPMENT AND VALIDATION IN AN INTERNATIONAL 12 CENTER COHORT
- Creators
- Yair LotanViswesh KrishnaBryn LaunerVrishab KrishnaSiddhant SinghiJennifer GordetskyJay B. ShahThomas GeraldEugene ShkolyarDickon HayneAndrew RedfernLisa SpaldingCourtney StewartVikram NarayanDattatraya PatilVignesh T. PackiamAnand RajanMichael A. O'DonnellLoic BaekelandtMario I. FernandezMarcela SchultzPatrick J. HensleyDerek B. AllisonJohn A. TaylorAmeer HamzaVivek NimgaonkarEkin TiuLouis J. VaickusSnehal SonawaneDaniel L. MillerDamir VrabacWaleed M. AbuzeidAnirudh JoshiSam S. ChangStephen B. Williams
- Resource Type
- Abstract
- Publication Details
- The Journal of urology, Vol.211(5S), p.e625
- DOI
- 10.1097/01.JU.0001008848.77629.6f.03
- ISSN
- 0022-5347
- eISSN
- 1527-3792
- Language
- English
- Date published
- 05/2024
- Academic Unit
- Urology
- Record Identifier
- 9984649159802771
Abstract
PD30-03 PREDICTING RESPONSE TO INTRAVESICAL BCG IN HIGH RISK NON-MUSCLE INVASIVE BLADDER CANCER USING AN ARTIFICIAL INTELLIGENCE-POWERED PATHOLOGY ASSAY: DEVELOPMENT AND VALIDATION IN AN INTERNATIONAL 12 CENTER COHORT
The Journal of urology, Vol.211(5S), p.e625
05/2024
DOI: 10.1097/01.JU.0001008848.77629.6f.03
Details
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