Shaolie S. Hossain, PhD

Shaolie S. Hossain, PhD, is an Assistant Investigator at The Texas Heart Institute (THI) and an Associate Research Professor at the Institute for Computational Engineering and Sciences (ICES) of the University of Texas at Austin (UT-Austin). She received her Masters and PhD in Mechanical Engineering from Stanford University and UT-Austin, respectively, specializing in Computational Fluid Dynamics and Nanomedicine. Show full bio

Dr. Hossain spearheads a joint initiative between THI and ICES to detect and potentially treat rupture-prone vulnerable plaques and to prevent heart attacks through targeted delivery of nanomedicine. Her research interests include patient-specific modeling, cardiovascular biomechanics and drug delivery.

See Publications

Texas Heart Institute Positions

Education

  • Undergraduate:

    Bangladesh University of Engineering and Technology

  • Medical School:

    Stanford University

  • Fellowships:

    University of Texas at Austin

Publications

Horn, J. D., Johnson, M. J., Starosolski, Z. et al. (2022). Patient-specific modeling could predict occurrence of pediatric stroke. Front Physiol 13, 846404. https://doi.org/10.3389/fphys.2022.846404.
Hossain, S. S., Starosolski, Z., Sanders, T. et al. (2021). Image-based patient-specific flow simulations are consistent with stroke in pediatric cerebrovascular disease. Biomech Model Mechanobiol. https://doi.org/10.1007/s10237-021-01495-9.
Urick, B., Sanders, T. M., Hossain, S. S. et al. (2017). Review of patient-specific vascular modeling: template-based isogeometric framework and the case for CAD. Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-017-9246-z.
Nguyen, J., Hossain, S. S., Cooke, J. R. N. et al. (2017). Flow arrest intra-arterial delivery of small TAT-decorated and neutral micelles to gliomas. J Neurooncol 133, 77–85. https://doi.org/10.1007/s11060-017-2429-5.
Joshi, S., Cooke, J. R. N., Chan, D. K. W. et al. (2016). Liposome size and charge optimization for intraarterial delivery to gliomas. Drug Deliv Transl Res 6, 225–233. https://doi.org/10.1007/s13346-016-0294-y.
Cooke, J. N. R., Ellis, J. A., Hossain, S. et al. (2016). Computational pharmacokinetic rationale for intra-arterial delivery to the brain. Drug Delivery and Translational Research 6, 622–629. https://doi.org/10.1007/s13346-016-0319-6.
Hossain, S. S. (2016). An Image-Based Computational Framework for Analyzing Disease Occurrence and Treatment Outcome in Patients with Peripheral Arterial Disease. In Y. Bazilevs and K. Takizawa (eds.), Advances in Computational Fluid-Structure Interaction and Flow Simulation (409–419). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-40827-9_32.
Hossain, S. S., Zhang, Y., Fu, X. et al. (2015). Magnetic resonance imaging-based computational modelling of blood flow and nanomedicine deposition in patients with peripheral arterial disease. J R Soc Interface 12. https://doi.org/10.1098/rsif.2015.0001.
Ellis, J. A., Banu, M., Hossain, S. S. et al. (2015). Reassessing the role of intra-arterial drug delivery for glioblastoma multiforme treatment. J Drug Deliv 2015, 405735. https://doi.org/10.1155/2015/405735.
Bao, G., Bazilevs, Y., Chung, J.-H. et al. (2014). USNCTAM perspectives on mechanics in medicine. J R Soc Interface 11, 20140301. https://doi.org/10.1098/rsif.2014.0301.

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