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Cancer Research
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June 5, 2003
Array-based comparative genomic hybridization for genome-wide screening of DNA copy number in bladder tumors
Joris 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 breast
Yunn-Yi Chen, Eun-Sil Shelley Hwang, Ritu Roy, et al.
BMC Cancer
|
April 20, 2006
Breast tumor copy number aberration phenotypes and genomic instability
Jane Fridlyand, Antoine M Snijders, Bauke Ylstra, et al.
Cancer Cell
|
December 13, 2006
Genomic and transcriptional aberrations linked to breast cancer pathophysiologies
Koei 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 Histopathology
Jonathan 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 subtypes
Richard 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 Trials
Andrew 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 Trials
Mack Roach, Jingbin Zhang, Osama Mohamad, et al.
Research Square
|
May 3, 2023
Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer
Daniel 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 Trials
Todd M Morgan, Yi Ren, Siyi Tang, et al.
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Search research articles
Search
Showing results (21-30 of 33) with videos related to
Sort By:
Page
of 4
Cancer Research
|
June 5, 2003
Array-based comparative genomic hybridization for genome-wide screening of DNA copy number in bladder tumors
Joris 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 breast
Yunn-Yi Chen, Eun-Sil Shelley Hwang, Ritu Roy, et al.
BMC Cancer
|
April 20, 2006
Breast tumor copy number aberration phenotypes and genomic instability
Jane Fridlyand, Antoine M Snijders, Bauke Ylstra, et al.
Cancer Cell
|
December 13, 2006
Genomic and transcriptional aberrations linked to breast cancer pathophysiologies
Koei 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 Histopathology
Jonathan 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 subtypes
Richard 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 Trials
Andrew 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 Trials
Mack Roach, Jingbin Zhang, Osama Mohamad, et al.
Research Square
|
May 3, 2023
Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer
Daniel 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 Trials
Todd M Morgan, Yi Ren, Siyi Tang, et al.
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of 4