@article{15d3f01b19ce44b3bbd93f307cfc0606,
title = "Math, magnets, and medicine: enabling personalized oncology",
keywords = "Computational oncology, MRI, chemotherapy, optimal control theory, radiation therapy, treatment response",
author = "Hormuth, {David A.} and Jarrett, {Angela M.} and Guillermo Lorenzo and Lima, {Ernesto A.B.F.} and Chengyue Wu and Caroline Chung and Debra Patt and Yankeelov, {Thomas E.}",
note = "Funding Information: This work was supported through funding from the National Cancer Institute [R01CA235800, U24CA226110, U01CA174706, CPRIT RR160005], and AAPM Research Seed Funding. TEY is a CPRIT Scholar of Cancer Research. This project is supported by the Oncological Data and Computational Sciences collaboration, Oncological Data and Computational Sciences Pilot Project sponsored by The Oden Institute for Computational Engineering and Sciences, The University of Texas MD Anderson Cancer Center, and Texas Advanced Computing Center. Guillermo Lorenzo acknowledges funding from the European Union{\textquoteright}s Horizon 2020 research and innovation program under the Marie Sk{\l}odowska-Curie grant agreement No. 838786.",
year = "2021",
doi = "10.1080/23808993.2021.1878023",
language = "English (US)",
volume = "6",
pages = "79--81",
journal = "Expert Review of Precision Medicine and Drug Development",
issn = "2380-8993",
publisher = "Taylor and Francis Ltd.",
number = "2",
}