S. Bhave

发表

A Validated T Cell Radiomics Score is Associated with Clinical Outcomes Following Multi-site SBRT and Pembrolizumab.

M. Polley, G. Redler, J. Luke, 2020, International journal of radiation oncology, biology, physics.

GSK-3β: A Bifunctional Role in Cell Death Pathways

Sandeep R. Bhave, D. Hallahan, J. Jaboin, 2012, International journal of cell biology.

Improved Survival Associated with Local Tumor Response Following Multisite Radiotherapy and Pembrolizumab: Secondary Analysis of a Phase I Trial

R. Weichselbaum, P. Ott, N. Khodarev, 2020, Clinical Cancer Research.

DCE‐MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: Pilot study findings

Xia Li, Thomas E Yankeelov, Lori R Arlinghaus, 2014, Magnetic resonance in medicine.

Cytosolic PhospholipaseA2 Inhibition with PLA-695 Radiosensitizes Tumors in Lung Cancer Animal Models

D. Hallahan, J. Jaboin, D. Thotala, 2013, PloS one.

High-throughput identification of putative receptors for cancer-binding peptides using biopanning and microarray analysis.

D. Hallahan, J. Jaboin, S. Wildman, 2013, Integrative biology : quantitative biosciences from nano to macro.

Autotaxin Inhibition with PF-8380 Enhances the Radiosensitivity of Human and Murine Glioblastoma Cell Lines

D. Hallahan, J. Jaboin, A. Linkous, 2013, Front. Oncol..

Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy

Xia Li, Thomas E. Yankeelov, Hua Xu, 2013, J. Am. Medical Informatics Assoc..

Towards Optimization of DCE-MRI Analysis for Early Prediction of the Response of Breast Cancer Patients to Neoadjuvant Chemotherapy

T. Yankeelov, E. Welch, R. Abramson, 2011 .

Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning.

Thomas E Yankeelov, Subramani Mani, Yukun Chen, 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.