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Clinical Trials (London, England)
|
February 7, 2022
Bayesian basket trial design with false-discovery rate control
Emily C Zabor, Michael J Kane, Satrajit Roychoudhury, et al.
Biometrics
|
April 9, 2015
Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging
Yuan Wang, Brian P Hobbs, Jianhua Hu, et al.
Medical Physics
|
March 1, 2022
A hybrid deep learning model for forecasting lymphocyte depletion during radiation therapy
Saba Ebrahimi, Gino Lim, Brian P Hobbs, et al.
Biostatistics (Oxford, England)
|
April 2, 2025
Within-trial data borrowing for sequential multiple assignment randomized trials
Ales Kotalik, David M Vock, Nancy E Sherwood, et al.
Cancer Metastasis Reviews
|
January 30, 2026
PD-L1 subpopulations of metastatic urothelial carcinoma demonstrate heterogeneity to chemotherapy: an integrated analysis of digitized trial results
Jie Zhou, Xun Jiang, Qing Liu, et al.
Scientific Reports
|
July 1, 2024
Machine learning identifies prognostic subtypes of the tumor microenvironment of NSCLC
Duo Yu, Michael J Kane, Eugene J Koay, et al.
JCO Clinical Cancer Informatics
|
September 8, 2025
Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression
Duo Yu, Michael J Kane, Yiqing Chen, et al.
Neuroimage
|
October 21, 2015
Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence
Shabnam Azadeh, Brian P Hobbs, Liangsuo Ma, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
May 10, 2022
Basket Trials: Review of Current Practice and Innovations for Future Trials
Brian P Hobbs, Roberto Carmagnani Pestana, Emily C Zabor, et al.
Scientific Reports
|
December 4, 2019
Real-world Treatment Patterns and Outcomes in HR+/HER2+ Metastatic Breast Cancer Patients: A National Cancer Database Analysis
Abby B Statler, Brian P Hobbs, Wei Wei, et al.
Page
of 11
Search research articles
Search
Showing results (41-50 of 108) with videos related to
Sort By:
Page
of 11
Clinical Trials (London, England)
|
February 7, 2022
Bayesian basket trial design with false-discovery rate control
Emily C Zabor, Michael J Kane, Satrajit Roychoudhury, et al.
Biometrics
|
April 9, 2015
Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging
Yuan Wang, Brian P Hobbs, Jianhua Hu, et al.
Medical Physics
|
March 1, 2022
A hybrid deep learning model for forecasting lymphocyte depletion during radiation therapy
Saba Ebrahimi, Gino Lim, Brian P Hobbs, et al.
Biostatistics (Oxford, England)
|
April 2, 2025
Within-trial data borrowing for sequential multiple assignment randomized trials
Ales Kotalik, David M Vock, Nancy E Sherwood, et al.
Cancer Metastasis Reviews
|
January 30, 2026
PD-L1 subpopulations of metastatic urothelial carcinoma demonstrate heterogeneity to chemotherapy: an integrated analysis of digitized trial results
Jie Zhou, Xun Jiang, Qing Liu, et al.
Scientific Reports
|
July 1, 2024
Machine learning identifies prognostic subtypes of the tumor microenvironment of NSCLC
Duo Yu, Michael J Kane, Eugene J Koay, et al.
JCO Clinical Cancer Informatics
|
September 8, 2025
Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression
Duo Yu, Michael J Kane, Yiqing Chen, et al.
Neuroimage
|
October 21, 2015
Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence
Shabnam Azadeh, Brian P Hobbs, Liangsuo Ma, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
May 10, 2022
Basket Trials: Review of Current Practice and Innovations for Future Trials
Brian P Hobbs, Roberto Carmagnani Pestana, Emily C Zabor, et al.
Scientific Reports
|
December 4, 2019
Real-world Treatment Patterns and Outcomes in HR+/HER2+ Metastatic Breast Cancer Patients: A National Cancer Database Analysis
Abby B Statler, Brian P Hobbs, Wei Wei, et al.
Page
of 11