Jennifer F. Litton

Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

Jason B. White, Jennifer B Dennison, S. Hanash, 2022, Frontiers in Artificial Intelligence.

Two may be better than one: PD-1/PD-L1 blockade combination approaches in metastatic breast cancer

D. Cescon, B. Vincent, S. Adams, 2019, npj Breast Cancer.

SETER/PR: a robust 18-gene predictor for sensitivity to endocrine therapy for metastatic breast cancer

A. Viale, C. Sotiriou, W. Fraser Symmans, 2019, npj Breast Cancer.

Nomograms for Predicting Axillary Response to Neoadjuvant Chemotherapy in Clinically Node-Positive Patients with Breast Cancer

H. Kuerer, K. Hunt, A. Caudle, 2016, Annals of Surgical Oncology.

BI-RADS Ultrasound Lexicon Descriptors and Stromal Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer.

Jason B. White, V. Valero, G. Rauch, 2021, Academic radiology.

A randomized, triple negative breast cancer enrolling trial to confirm molecular profiling improves survival (ARTEMIS).

K. Hess, W. Symmans, G. Rauch, 2017 .