Multiscale modeling of vascular dynamics of micro- and nano-particles : application to drug delivery system /
Recent advances in this exciting field see the potential to employ nanomedicine and game-changing methods to deliver drug molecules directly to diseased sites. To optimize and then enhance efficacy and specificity, the control and guidance of drug carriers in vasculature become crucial. The current...
Clasificación: | Libro Electrónico |
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Autores principales: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) :
Morgan & Claypool Publishers,
[2019]
|
Colección: | IOP (Series). Release 6.
IOP concise physics. |
Temas: | |
Acceso en línea: | Texto completo |
MARC
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008 | 200106s2019 caua ob 000 0 eng d | ||
020 | |a 9781643277929 |q ebook | ||
020 | |a 9781643277905 |q mobi | ||
020 | |z 9781643277899 |q print | ||
020 | |z 9780750326964 |q myPrint | ||
020 | |z 9780750330190 |q PoD | ||
024 | 7 | |a 10.1088/2053-2571/ab4124 |2 doi | |
035 | |a (CaBNVSL)thg00979918 | ||
035 | |a (OCoLC)1135509960 | ||
040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
050 | 4 | |a RM301.63 |b .Y456 2019eb | |
060 | 4 | |a QV 785 |b Y37m 2019eb | |
072 | 7 | |a PHVN |2 bicssc | |
072 | 7 | |a SCI009000 |2 bisacsh | |
082 | 0 | 4 | |a 615.7 |2 23 |
100 | 1 | |a Ye, Huilin |c (Mechanical engineer), |e author. | |
245 | 1 | 0 | |a Multiscale modeling of vascular dynamics of micro- and nano-particles : |b application to drug delivery system / |c Huilin Ye, Zhiqiang Shen and Ying Li. |
264 | 1 | |a San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : |b Morgan & Claypool Publishers, |c [2019] | |
264 | 2 | |a Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : |b IOP Publishing, |c [2019] | |
300 | |a 1 online resource (various pagings) : |b illustrations (some color). | ||
336 | |a text |2 rdacontent | ||
337 | |a electronic |2 isbdmedia | ||
338 | |a online resource |2 rdacarrier | ||
490 | 1 | |a [IOP release 6] | |
490 | 1 | |a IOP concise physics, |x 2053-2571 | |
500 | |a "Version: 20191201"--Title page verso. | ||
500 | |a "A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso. | ||
504 | |a Includes bibliographical references. | ||
505 | 0 | |a 1. Background -- 1.1. Blood flow in human vasculature -- 1.2. Vascular targeting and margination of particles in blood flow -- 1.3. Adhesion of particles on endothelium wall | |
505 | 8 | |a part I. Numerical method -- 2. Numerical methods: fluid-structure interaction and adhesive dynamics -- 2.1. Fluid-structure interaction -- 2.2. Adhesive dynamics -- 2.3. Validation of numerical method | |
505 | 8 | |a part II. Applications -- 3. Anomalous vascular dynamics of nanoworms within blood flow -- 3.1. Motivation -- 3.2. Experimental and computational results | |
505 | 8 | |a 4. Adhesion behavior of a single cell on the endothelial wall -- 4.1. Introduction -- 4.2. Computational model -- 4.3. Results and discussion | |
505 | 8 | |a 5. Localization of soft particles: margination and adhesion -- 5.1. Introduction -- 5.2. Physical problem and computational method -- 5.3. Results and discussion | |
505 | 8 | |a 6. Shape-dependent transport of micro-particles in blood flow: from margination to adhesion -- 6.1. Introduction -- 6.2. Computational model setup -- 6.3. Results and discussion | |
505 | 8 | |a 7. Conclusion and perspective -- Appendix A. Coarse-grained potential for RBCs. | |
520 | 3 | |a Recent advances in this exciting field see the potential to employ nanomedicine and game-changing methods to deliver drug molecules directly to diseased sites. To optimize and then enhance efficacy and specificity, the control and guidance of drug carriers in vasculature become crucial. The current bottlenecks in the optimal design of drug-carrying particles are lack of knowledge about the transport of particles, adhesion on the endothelium wall, and subsequent internalization into diseased cells. To study the transport and adhesion of particles in vasculature, the authors of this book have made great effort to numerically investigate the dynamic and adhesive motions of particles in the blood flow. This text discusses the recent achievements from the establishment of fundamental physical problems to the development of a multiscale model and, finally, large-scale simulations for understanding the transport of particle-based drug carriers in blood flow. | |
521 | |a Professional and scholarly. | ||
530 | |a Also available in print. | ||
538 | |a Mode of access: World Wide Web. | ||
538 | |a System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. | ||
545 | |a Huilin Ye is a Ph.D. candidate in Mechanical Engineering at the University of Connecticut. His research interest is mainly on developing high-fidelity computational methods in biosystems, especially for the blood flow. The key tasks include two aspects: a fluid-structure interaction algorithm (FSIA) and high-performance computing (HPC). The novel numerical scheme has been successfully applied in a targeted drug delivery system for capturing the dynamic motion of micro- and nano-particles in blood flow. Ye's works have been recognized by fellowships and awards including a Generic Electric Fellowship for Innovation and the Best Paper Award of FDTC Student paper competition in EMI (2018) from ASCE. Dr Ying Li joined the University of Connecticut in 2015 as an Assistant Professor in the Department of Mechanical Engineering. He received his Ph.D. in 2015 from Northwestern University, focusing on the multiscale modeling of soft matter and related biomedical applications. His current research interests are in multiscale modeling, computational material design, mechanics and physics of soft matter, design of mechanical metamaterials and targeted drug delivery. Dr Li's achievements in research have been widely recognized by fellowships and awards including the Best Paper Award from the ASME Global Congress on NanoEngineering for Medicine and Biology (2015), International Institute for Nanotechnology Outstanding Researcher Award (2014), Chinese Government Award for Outstanding Students Abroad (2012) and a Ryan Fellowship (2011). Zhiqiang Shen is a Ph.D. candidate in Mechanical Engineering at the University of Connecticut. His current research interests focus on multi-scale modelling of nanoparticle-mediated drug delivery and polymeric materials. Utilizing computational simulations as a basic tool, he is excited about the research in two different perspectives: revealing the physical mechanisms behind a drug delivery process or material property, and designing molecular structures to improve the performance of nanoparticles in drug delivery or the mechanical properties of polymeric materials. Shen's works have been recognized by fellowships and awards including a Generic Electric Fellowship for Innovation (2017) and an ASME SPC Award (2019). | ||
588 | 0 | |a Title from PDF title page (viewed on January 6, 2020). | |
650 | 0 | |a Drug targeting. | |
650 | 0 | |a Drug carriers (Pharmacy) | |
650 | 0 | |a Nanoparticles |x Therapeutic use. | |
650 | 0 | |a Blood-vessels. | |
650 | 0 | |a Biomechanics. | |
650 | 0 | |a Biomedical materials |x Mechanical properties. | |
650 | 0 | |a Multiscale modeling. | |
650 | 1 | 2 | |a Drug Delivery Systems. |
650 | 1 | 2 | |a Drug Carriers. |
650 | 1 | 2 | |a Nanoparticles |x therapeutic use. |
650 | 1 | 2 | |a Blood Vessels |x physiology. |
650 | 1 | 2 | |a Biocompatible Materials. |
650 | 2 | 2 | |a Biomechanical Phenomena. |
650 | 2 | 2 | |a Models, Anatomic. |
650 | 2 | 2 | |a Models, Biological. |
650 | 7 | |a Biophysics. |2 bicssc | |
650 | 7 | |a SCIENCE / Life Sciences / Biophysics. |2 bisacsh | |
700 | 1 | |a Shen, Zhiqiang |c (Mechanical engineer), |e author. | |
700 | 1 | |a Li, Ying |c (Ph. D. in mechanical engineering), |e author. | |
710 | 2 | |a Morgan & Claypool Publishers, |e publisher. | |
710 | 2 | |a Institute of Physics (Great Britain), |e publisher. | |
776 | 0 | 8 | |i Print version: |z 9781643277899 |z 9780750326964 |z 9780750330190 |
830 | 0 | |a IOP (Series). |p Release 6. | |
830 | 0 | |a IOP concise physics. | |
856 | 4 | 0 | |u https://iopscience.uam.elogim.com/book/978-1-64327-792-9 |z Texto completo |