A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin.

Autor: Miniere HJM; Department of Biomedical Engineering, The University of Texas at Austin, Austin, USA., Lima EABF; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA., Lorenzo G; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA.; Department of Civil Engineering and Architecture, University of Pavia, Lombardy, Italy., Hormuth DA 2nd; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA.; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, USA., Ty S; Department of Biomedical Engineering, The University of Texas at Austin, Austin, USA.; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA., Brock A; Department of Biomedical Engineering, The University of Texas at Austin, Austin, USA.; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, USA., Yankeelov TE; Department of Biomedical Engineering, The University of Texas at Austin, Austin, USA.; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA.; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, USA.; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, USA.; Department of Oncology, The University of Texas at Austin, Austin, USA.; Division of Diagnostic Imaging, The University of Texas M.D. Anderson Cancer Center, Houston, USA.

Publikováno v: Cancer biology & therapy [Cancer Biol Ther] 2024 Dec 31; Vol. 25 (1), pp. 2321769. Date of Electronic Publication: 2024 Feb 27.

Designing clinical trials for patients who are not average.

Autor: Yankeelov TE; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX 78712, USA.; Department of Oncology, The University of Texas at Austin, Austin, TX 78712, USA.; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.; Division of Diagnostic Imaging, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA., Hormuth DA 2nd; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA., Lima EABF; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.; Texas Advanced Computer Center, The University of Texas at Austin, Austin, TX 78712, USA., Lorenzo G; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.; Department of Civil Engineering and Architecture, University of Pavia, 27100 Pavia, Italy., Wu C; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA., Okereke LC; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA., Rauch GM; Department of Abdominal Imaging, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA., Venkatesan AM; Department of Abdominal Imaging, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA., Chung C; Department of Radiation Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA.

Publikováno v: IScience [iScience] 2023 Nov 29; Vol. 27 (1), pp. 108589. Date of Electronic Publication: 2023 Nov 29 (Print Publication: 2024).

Predicting response to combination evofosfamide and immunotherapy under hypoxic conditions in murine models of colon cancer.

Autor: Lima EABF; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 East 24th St, Austin, TX 78712, USA.; Texas Advanced Computing Center, The University of Texas at Austin, 10100 Burnet Rd (R8700), Austin, TX 78758, USA., Song PN; Department of Radiology, The University of Alabama at Birmingham, 619 19th St S, Birmingham, AL 35294, USA.; Graduate Biomedical Sciences, The University of Alabama at Birmingham, 1075 13th St S, Birmingham, AL 35294, USA., Reeves K; Department of Radiology, The University of Alabama at Birmingham, 619 19th St S, Birmingham, AL 35294, USA.; Graduate Biomedical Sciences, The University of Alabama at Birmingham, 1075 13th St S, Birmingham, AL 35294, USA., Larimer B; Department of Radiology, The University of Alabama at Birmingham, 619 19th St S, Birmingham, AL 35294, USA.; O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham, 1824 6th Ave S, Birmingham, AL 35233, USA., Sorace AG; Department of Radiology, The University of Alabama at Birmingham, 619 19th St S, Birmingham, AL 35294, USA.; O'Neal Comprehensive Cancer Center, The University of Alabama at Birmingham, 1824 6th Ave S, Birmingham, AL 35233, USA.; Department of Biomedical Engineering, The University of Alabama at Birmingham, 1075 13th St S, Birmingham, AL 35294, USA., Yankeelov TE; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, 201 East 24th St, Austin, TX 78712, USA.; Department of Biomedical Engineering, The University of Texas at Austin, 1107 W. Dean Keeton St, Austin, TX 78712, USA.; Department of Diagnostic Medicine, The University of Texas at Austin, 1601 Trinity St Bldg B, Austin, TX 78712, USA.; Department of Oncology, The University of Texas at Austin, 1601 Trinity St Bldg B, Austin, TX 78712, USA.; Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, 623 W. 38th St Ste 300, Austin, TX 78705, USA.; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1400 Pressler St Unit 1472, Houston, TX 77030, USA.

Publikováno v: Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2023 Sep 15; Vol. 20 (10), pp. 17625-17645.

Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis.

Autor: Phillips CM; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, United States of America., Lima EABF; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, United States of America.; Texas Advanced Computing Center, The University of Texas at Austin, Austin, Texas, United States of America., Gadde M; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, United States of America., Jarrett AM; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, United States of America.; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas, United States of America., Rylander MN; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, United States of America.; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.; Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, United States of America., Yankeelov TE; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, United States of America.; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, Texas, United States of America.; Department of Oncology, The University of Texas at Austin, Austin, Texas, United States of America.; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas, United States of America.; Department of Imaging Physics, The University of Texas at Austin, MD Anderson Cancer Center, Houston, Texas, United States of America.

Publikováno v: PLoS computational biology [PLoS Comput Biol] 2023 Jan 18; Vol. 19 (1), pp. e1009499. Date of Electronic Publication: 2023 Jan 18 (Print Publication: 2023).

Model selection for assessing the effects of doxorubicin on triple-negative breast cancer cell lines.

Autor: Resende ACM; National Laboratory for Scientific Computing, Petrópolis, Brazil. annacmr@lncc.br.; Diagnósticos da América SA (Dasa), Sao Paulo, Brazil. annacmr@lncc.br., Lima EABF; Oden Institute for Computational Engineering and Sciences, The University of Texas Austin, Austin, USA.; Texas Advanced Computing Center, The University of Texas at Austin, Austin, USA., Almeida RC; National Laboratory for Scientific Computing, Petrópolis, Brazil., McKenna MT; Institute of Imaging Science, Vanderbilt University, Nashville, USA.; Department of Biomedical Engineering, Vanderbilt University, Nashville, USA., Yankeelov TE; Oden Institute for Computational Engineering and Sciences, The University of Texas Austin, Austin, USA.; Department of Biomedical Engineering, The University of Texas at Austin, Austin, USA.; Department of Diagnostic Medicine, Dell Medical School, Austin, USA.; Department of Oncology, Dell Medical School, Austin, USA.; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, USA.

Publikováno v: Journal of mathematical biology [J Math Biol] 2022 Nov 10; Vol. 85 (6-7), pp. 65. Date of Electronic Publication: 2022 Nov 10.