Hermann B. Frieboes, Ph.D.

Education:Hermann B. Frieboes, Ph.D.

  • Ph.D., Biomedical Engineering, University of California, Irvine; 2006
    Mathematical and experimental modeling of cancer growth, vascularization, and drug treatment
  • M.S., Computer Engineering, University of California, Irvine
    Algorithms, real-time embedded systems, and microprocessor architecture

Curriculum Vitae

Current Positions:

Associate Professor, Department of Bioengineering, University of Louisville, KY
Associate Member, Experimental Therapeutics & Diagnostics Program, James Graham Brown Cancer Center, University of Louisville

Contact Information:

Clinical Translational Research Building, Room 210
University of Louisville
505 Hancock St.
Louisville, KY 40202, USA
Phone 502-852-3345
Fax 502-852-7979

Email: hbfrie01@louisville.edu

Research Description:

The Frieboes laboratory pursues an improved understanding of cancer progression and response to treatment by applying principles from engineering and the physical sciences. The laboratory expertise is focused on the development and integration of mathematical modeling, computational simulation, and experimental biology techniques to study cancer.  This work is part of the burgeoning field of “Physical Oncology,” in which cancer is studied not only from a biological standpoint but also as a physical system using mathematics and physics.  This interdisciplinary study of cancer requires that experimental and clinical data drive the computational and modeling work.  The aim of this research is to predict tumor behavior from the molecular and cellular scale events, with the ultimate goal to help guide the treatment of individual patients. This novel research intersects the fields of cancer biology, scientific computing, data visualization, mathematical biology, and physical oncology.

Representative Publications:

Mathematical modeling and computational simulation to characterize tumor growth

  • Ng CF, Frieboes HB.  Simulation of multispecies desmoplastic cancer growth via a fully adaptive nonlinear full multigrid algorithm.  Frontiers in Physiology: Computational Physiology and Medicine 2018 Jul 12;9:821.  doi: 10.3389/fphys.2018.00821. eCollection 2018. PMID: 30050447. PMCID: PMC6052761.
  • Ng CF, Frieboes HB.  Model of vascular desmoplastic multispecies tumor growth.  Journal of Theoretical Biology 2017 Oct 7;430:245-82. doi: 10.1016/j.tbi.2017.05.013. PMID: 28529153. PMCID: PMC5614902.
  • Frieboes HB, Jin F, Chuang YL, Wise SM, Lowengrub JS, Cristini V.  Three-dimensional multispecies nonlinear tumor growth-II: Tumor invasion and angiogenesis.  Journal of Theoretical Biology 2010 Jun 21;264:1254-78. doi: 10.1016/j.jtbi.2010.02.036. Epub 2010 Mar 18. PMID: 20303982. PMCID: PMC2912164.

Multiscale linking of molecular- to cell- to tissue-scale events during tumor progression:

  • Frieboes HB, Curtis LT, Wu M, Kani K, Mallick P.  Simulation of the protein shedding kinetics of a fully vascularized tumor.  Cancer Informatics 2015 Dec 20;14:163-75. PMID: 26715830. PMCID: PMC4687979.
  • Frieboes HB, Smith BR, Chuang YL, Ito K, Roettgers AM, Gambhir SS, Cristini V.  An integrated computational/experimental model of lymphoma growth.  PLoS Computational Biology 2013;9(3):e1003008. doi: 10.1371/journal.pcbi.1003008. Epub 2013 Mar 28. PMID: 23555235. PMCID: PMC3610621.
  • Frieboes HB, Zheng X, Sun CH, Tromberg B, Gatenby R, Cristini V.  An integrated computational/experimental model of tumor invasion.  Cancer Research 2006 Feb 1;66:1597-604. PMID: 16452218.  [ cancerres.aacrjournals.org/content/66/3/1597.long ]

Integration of modeling and experimentation to characterize cancer treatment response

  • Curtis LT, van Berkel V, Frieboes HB.  Pharmacokinetic/pharmacodynamic modeling of combination-chemotherapy for lung cancer.  Journal of Theoretical Biology 2018 Jul 7;448:38-52. doi: 10.1016/j.jtbi.2018.03.035. Epub 2018 Apr 1.  PMID: 29614265.  PMCID: PMC5958901.
  • Ware MJ, Curtis LT, Wu M, Corr SJ, Curley SA, Godin B, Frieboes HB.  Pancreatic adenocarcinoma response to chemotherapy enhanced with non-invasive radio frequency evaluated via an integrated experimental/computational approach.  Scientific Reports 2017 Jun 13;7(1):3437.  doi: 10.1038/s41598-017-03040-0. PMID: 28611425. PMCID: PMC5469743.
  • Lee JJ, Huang JS, England C, McNally LR, Frieboes HB.  Predictive modeling of in vivo response to Gemcitabine in pancreatic cancer.  PLoS Computational Biology 2013;9(9):e1003231. doi: 10.1371/journal.pcbi.1003231. Epub 2013 Sep 19.  PMID: 24068909.  PMCID: PMC3777914.

 Modeling and simulation of cancer nanotherapy

  • Curtis LT, England CG, Wu M, Lowengrub JS, Frieboes HB.  An interdisciplinary computational/experimental approach to evaluate drug-loaded gold nanoparticle tumor cytotoxicity.  Nanomedicine (London) 2016 Feb;11(3):197-216. doi: 10.2217/nnm.15.195. PMID: 26829163. PMCID:  PMC4910950.
  • Curtis LT, Rychahou P, Bae Y, Frieboes HB.  A computational/experimental assessment of antitumor activity of polymer nanoassemblies for pH-controlled drug delivery to primary and metastatic tumors.  Pharmaceutical Research 2016 Oct;33(10):2552-64.  doi: 10.1007/s11095-016-1981-6. Epub 2016 Jun 29. PMID: 27356524. 
  • Curtis LT, Wu M, Lowengrub J, Decuzzi P, Frieboes HB.  Computational modeling of tumor response to drug release from vasculature-bound nanoparticles.  PLoS One 2015 Dec 14;10(12):e0144888. doi: 10.1371/journal.pone.0144888. eCollection 2015. PMID: 26660469. PMCID: PMC4682796.

Modeling and simulation of cancer immunotherapy

  • Mahlbacher G, Curtis LT, Lowengrub JB, Frieboes HB.  Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment.  Journal for Immunotherapy of Cancer 2018 Jan 30;6(1):10. doi: 10.1186/s40425-017-0313-7. PMID: 29382395. PMCID: PMC5791333.
  • Leonard F, Curtis LT, Ware M, Nosrat T, Liu S, Yokoi K, Frieboes HB, Godin B. Macrophage polarization contributes to the anti-tumoral efficacy of mesoporous nanovectors loaded with albumin-bound paclitaxel.  Frontiers in Immunology 2017 Jun 16;8:693. doi: 10.3389/fimmu.2017.00693. eCollection 2017. PMID: 28670313. PMCID: PMC5472662.
  • Leonard F, Curtis LT, Tanei T, Yesantharao P, Alexander JF, Wu M, Lowengrub JS, Liu X, Ferrari M, Yokoi K, Frieboes HB, Godin B.  Enhanced performance of macrophage-encapsulated nanoparticle albumin-bound-paclitaxel in hypo-perfused cancer lesions. Nanoscale 2016 Jul 7;8(25):12544-52.  doi: 10.1039/c5nr07796f. Epub 2016 Jan 28. PMID: 26818212. PMCID: PMC4919151.   

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