Showing results (21-30 of 33) with videos related to

Sort By:
Pageof 4
Cancer Research|June 5, 2003
Array-based comparative genomic hybridization for genome-wide screening of DNA copy number in bladder tumorsJoris A Veltman, Jane Fridlyand, Sunanda Pejavar, et al.
The American Journal of Surgical Pathology|August 25, 2009
Genetic and phenotypic characteristics of pleomorphic lobular carcinoma in situ of the breastYunn-Yi Chen, Eun-Sil Shelley Hwang, Ritu Roy, et al.
BMC Cancer|April 20, 2006
Breast tumor copy number aberration phenotypes and genomic instabilityJane Fridlyand, Antoine M Snijders, Bauke Ylstra, et al.
Cancer Cell|December 13, 2006
Genomic and transcriptional aberrations linked to breast cancer pathophysiologiesKoei Chin, Sandy DeVries, Jane Fridlyand, et al.
JCO Precision Oncology|October 24, 2024
Prostate Cancer Risk Stratification in NRG Oncology Phase III Randomized Trials Using Multimodal Deep Learning With Digital HistopathologyJonathan David Tward, Huei-Chung Huang, Andre Esteva, et al.
Cancer Cell|December 13, 2006
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypesRichard M Neve, Koei Chin, Jane Fridlyand, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|April 16, 2025
Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across Multiple Phase III TrialsAndrew J Armstrong, Vinnie Y T Liu, Ramprasaath R Selvaraju, et al.
JCO Clinical Cancer Informatics|May 9, 2025
Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III TrialsMack Roach, Jingbin Zhang, Osama Mohamad, et al.
Research Square|May 3, 2023
Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate CancerDaniel E Spratt, Siyi Tang, Yilun Sun, et al.
European Urology|December 23, 2025
Development and Validation of a Multimodal Artificial Intelligence-derived Digital Pathology-based Biomarker Predicting Metastasis Among Patients with Biochemical Recurrence After Radical Prostatectomy in NRG/RTOG TrialsTodd M Morgan, Yi Ren, Siyi Tang, et al.
Pageof 4