Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer

par Angela M. Jarrett, David A. Hormuth, Vikram Adhikarla, Prativa Sahoo, Daniel Abler, Lusine Tumyan, Daniel Schmolze, Joanne Mortimer, Russell C. Rockne, Thomas E. Yankeelov
Publié 2020

Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer

par Ragini Kothari, Veronica Jones, Dominique Mena, Viviana Bermúdez Reyes, Youkang Shon, Jennifer P. Smith, Daniel Schmolze, Philip D. Cha, Lily Lai, Yuman Fong, Michael C. Storrie-Lombardi
Publié 2021

Raman Spectroscopy for Rapid Evaluation of Surgical Margins during Breast Cancer Lumpectomy

par Willie C. Zúñiga, Veronica Jones, Sarah M. Anderson, Alex Echevarria, Nathaniel L. Miller, Connor Stashko, Daniel Schmolze, Philip D. Cha, Ragini Kothari, Yuman Fong, Michael C. Storrie-Lombardi
Publié 2019

Spatial distribution of B cells and lymphocyte clusters as a predictor of triple-negative breast cancer outcome

par Juliana C. Wortman, Ting-Fang He, Shawn Solomon, Robert Z. Zhang, Anthony Rosario, Roger Wang, Travis Y. Tu, Daniel Schmolze, Yuan Yuan, Susan E. Yost, Xuefei Li, Herbert Levine, Gurinder Atwal, Peter P. Lee, Clare C. Yu
Publié 2021