Area of research
Cell Biology · Cancer Research
Research interest
Research interests include Breast cancer, Medicine, Triple-negative breast cancer, Cancer research, Oncology, and Centrosome.
Integrative spatial omics reveals distinct tumor-promoting multicellular niches and immunosuppressive mechanisms in Black American and White American patients with TNBC
C/EBPβ increases tumor aggressiveness by enhancing KIFC1 expression in androgen receptor negative triple negative breast cancer
Awareness of the alcohol–breast cancer link among breast cancer survivors in the United States: a national cross-sectional survey
Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer
Demographic disparities in the limited awareness of alcohol use as a breast cancer risk factor: empirical findings from a cross-sectional study of U.S. women
PLK1 and AURKB phosphorylate survivin differentially to affect proliferation in racially distinct triple-negative breast cancer
Deep learning based registration of serial whole-slide histopathology images in different stains
Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia
Predicting Neoadjuvant Treatment Response in Triple-Negative Breast Cancer Using Machine Learning
Association of Race and Area Deprivation With Breast Cancer Survival Among Black and White Women in the State of Georgia
A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images
Epigenetic Determinants of Racial Disparity in Breast Cancer: Looking beyond Genetic Alterations
MiR-150-5p Overexpression in Triple-Negative Breast Cancer Contributes to the In Vitro Aggressiveness of This Breast Cancer Subtype
Computational benchmarking of putative KIFC1 inhibitors
Exosomal Metabolic Signatures Are Associated with Differential Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer
A Case Series Exploration of Multi-Regional Expression Heterogeneity in Triple-Negative Breast Cancer Patients
Polyploid giant cancer cell characterization: New frontiers in predicting response to chemotherapy in breast cancer
Predicting Metastasis Risk in Pancreatic Neuroendocrine Tumors Using Deep Learning Image Analysis
Protein Conformational Changes in Breast Cancer Sera Using Infrared Spectroscopic Analysis
Combined HER3-EGFR score in triple-negative breast cancer provides prognostic and predictive significance superior to individual biomarkers
Quadruple-negative breast cancer: novel implications for a new disease
Disadvantaged neighborhoods and racial disparity in breast cancer outcomes: the biological link
Prognostic Role of Androgen Receptor in Triple Negative Breast Cancer: A Multi-Institutional Study
A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk
Clinicopathologic Factors Associated With Response to Neoadjuvant Anti-HER2–Directed Chemotherapy in HER2-Positive Breast Cancer
Multinucleated polyploidy drives resistance to Docetaxel chemotherapy in prostate cancer
Multi-institutional study of nuclear KIFC1 as a biomarker of poor prognosis in African American women with triple-negative breast cancer
Immunohistochemical Classification of Ampullary Carcinomas
Amplified centrosomes and mitotic index display poor concordance between patient tumors and cultured cancer cells
Stromal PD-L1 Expression Is Associated With Better Disease-Free Survival in Triple-Negative Breast Cancer