Quantitative in vivo imaging to enable tumor forecasting and treatment optimization. - Guillermo Lorenzo; David A. Hormuth II; Angela M. Jarrett; Ernesto A. B. F. Lima; Shashank Subramanian; George Biros; J. Tinsley Oden; Thomas J. R. Hughes; Thomas E. Yankeelov (CoRR, 2021)

Identifying mechanisms driving the early response of triple negative breast cancer patients to neoadjuvant chemotherapy using a mechanistic model integrating in vitro and in vivo imaging data. - Guillermo Lorenzo; Angela M. Jarrett; Christian T. Meyer; Vito Quaranta; Darren R. Tyson; Thomas E. Yankeelov (CoRR, 2022)

Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics. - Chengyue Wu; David A. Hormuth; Guillermo Lorenzo; Angela M. Jarrett; Federico Pineda; Frederick M. Howard; Gregory S. Karczmar; Thomas E. Yankeelov (IEEE Trans. Biomed. Eng., 2022)

Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis. - Caleb M. Phillips; Ernesto A. B. F. Lima; Manasa Gadde; Angela M. Jarrett; Marissa Nichole Rylander; Thomas E. Yankeelov (PLoS Comput. Biol., 2023)

Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting. - Caleb M. Phillips; Ernesto A. B. F. Lima; Chengyue Wu; Angela M. Jarrett; Z. Zhou; N. Elshafeey; J. Ma; Greta Rauch; Thomas E. Yankeelov (J. Comput. Sci., 2023)

A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data. - Guillermo Lorenzo; Angela M. Jarrett; Christian T. Meyer; Julie C. DiCarlo; John Virostko; Vito Quaranta; Darren R. Tyson; Thomas E. Yankeelov (Eng. Comput., 2024)