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Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data.
Jarrett AM, Hormuth DA 2nd, Wu C, Kazerouni AS, Ekrut DA, Virostko J, Sorace AG, DiCarlo JC, Kowalski J, Patt D, Goodgame B, Avery S, Yankeelov TE. Jarrett AM, et al. Among authors: patt d. Neoplasia. 2020 Dec;22(12):820-830. doi: 10.1016/j.neo.2020.10.011. Epub 2020 Nov 14. Neoplasia. 2020. PMID: 33197744 Free PMC article.
Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis.
Virostko J, Hainline A, Kang H, Arlinghaus LR, Abramson RG, Barnes SL, Blume JD, Avery S, Patt D, Goodgame B, Yankeelov TE, Sorace AG. Virostko J, et al. Among authors: patt d. J Med Imaging (Bellingham). 2018 Jan;5(1):011011. doi: 10.1117/1.JMI.5.1.011011. Epub 2017 Nov 24. J Med Imaging (Bellingham). 2018. PMID: 29201942 Free PMC article.
Math, magnets, and medicine: enabling personalized oncology.
Hormuth DA 2nd, Jarrett AM, Lorenzo G, Lima EABF, Wu C, Chung C, Patt D, Yankeelov TE. Hormuth DA 2nd, et al. Among authors: patt d. Expert Rev Precis Med Drug Dev. 2021;6(2):79-81. doi: 10.1080/23808993.2021.1878023. Epub 2021 Jan 27. Expert Rev Precis Med Drug Dev. 2021. PMID: 34027102 Free PMC article. No abstract available.
115 results