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Cancers|September 11, 2019
Panoptic View of Prognostic Models for Personalized Breast Cancer ManagementGeetanjali Saini, Karuna Mittal, Padmashree Rida, et al.
Breast Cancer Research and Treatment|July 12, 2023
Molecular features of androgen-receptor low, estrogen receptor-negative breast cancers in the Carolina breast cancer studyNikita D Jinna, Sarah Van Alsten, Padmashree Rida, et al.
International Journal of Molecular Sciences|August 26, 2022
Adaptation to Hypoxia May Promote Therapeutic Resistance to Androgen Receptor Inhibition in Triple-Negative Breast CancerNikita Jinna, Padmashree Rida, Max Smart, et al.
Journal of Personalized Medicine|December 24, 2021
Kinesin Family Member C1 (KIFC1/HSET): A Potential Actionable Biomarker of Early Stage Breast Tumorigenesis and Progression of High-Risk LesionsNikita Wright, Zhihong Gong, Rick Kittles, et al.
Journal of Ovarian Research|July 17, 2014
KIFCI, a novel putative prognostic biomarker for ovarian adenocarcinomas: delineating protein interaction networks and signaling circuitriesShrikant Pawar, Shashikiran Donthamsetty, Vaishali Pannu, et al.
Cancers|September 23, 2022
Racial Disparity in Quadruple Negative Breast Cancer: Aggressive Biology and Potential Therapeutic Targeting and PreventionNikita Jinna, Tijana Jovanovic-Talisman, Mark LaBarge, et al.
Cells|December 11, 2022
The DARC Side of Inflamm-Aging: Duffy Antigen Receptor for Chemokines (DARC/ACKR1) as a Potential Biomarker of Aging, Immunosenescence, and Breast Oncogenesis among High-Risk SubpopulationsNikita Jinna, Padmashree Rida, Tianyi Su, et al.
Breast Cancer Research : BCR|July 31, 2019
A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence riskSergey Klimov, Islam M Miligy, Arkadiusz Gertych, et al.
British Journal of Cancer|August 10, 2019
Machine learning-based prediction of breast cancer growth rate in vivoShristi Bhattarai, Sergey Klimov, Mohammed A Aleskandarany, et al.
BJC Reports|November 13, 2024
Cell cycle traverse rate predicts long-term outcomes in a multi-institutional cohort of patients with triple-negative breast cancerShristi Bhattarai, Manali Rupji, Hsueh-Ping Chao, et al.
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