By Vo Van Toi, Tran Ha Lien Phuong
This quantity offers the complaints of the 5th foreign convention at the improvement of Biomedical Engineering in Vietnam which used to be held from June 16-18, 2014 in Ho Chi Minh urban. the quantity displays the growth of Biomedical Engineering and discusses difficulties and options. I goals opting for new demanding situations, and shaping destiny instructions for learn in biomedical engineering fields together with scientific instrumentation, bioinformatics, biomechanics, clinical imaging, drug supply remedy, regenerative drugs and entrepreneurship in clinical devices.
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Extra resources for 5th International Conference on Biomedical Engineering in Vietnam
Fig. 2 Simulation of the dynamics of a red blood cell in an industrial cytometer. Sequence of shapes of one red blood cell (from bottom to top) superimposed over the carrying fluid magnitude. The aperture diameter is 50 micrometers and the main flow Reynolds number around 300. Fig. 1 Flow during diastole in the simulation of the left heart flow . The simulation includes part of the pulmonary veins (PV), the left atrium (LA), left venticle (LV) and the aortic root (AO). Aortic (AV) and mitral (MV) valves are also represented.
2210078 8. Arya SK, Singh PS et al. (2012) Recent adv vances in ZnO nanostructures and thin films for biosensor appliications: review. Analytica Chimica Acta 737:1-21 9. Kumar N, Hahm JI et al. (2006) Ultrasensitive DNA sequence detection using nanoscale ZnO sensor arrays. Nan notechnology 17: 2875-2881 10. Dorfman A, Hahm JI et al. (2006) Higghly sensitive biomolecular fluorescence detection using nanoscale ZnnO platforms. Langmuir 22: 4890-4895 11. Zhao JW, Zhi LF et al. (2008) Fabbrication of micropatterned ZnO/SiO2 core/shell nanorod arrays on a nnanocrystalline diamond film and their application to DNA hybridizatioon detection.
YALES2BIO: A Computational Fluid Dynamics Software Dedicated to the Prediction of Blood Flows in Biomedical Devices From a patient medical exam, Chnafa et al.  reconstructed the geometry and the deformations of a left heart, from the pulmonary veins to the aortic root. Imposing the endocardium and the valves movements as in the medical exam, the computation solves the flow equations and provides a characterization of the flow in the patient-specific left heart. Fig. 1 shows the flow field in the simulation at two salient instants in the simulation, both during diastole.
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