Resultados de investigación

This work was supported by the projects MAT2010-20370 and MAT2013-43922-R (European FEDER support included, MICINN, Spain), PI10/02295 (Instituto de Salud Carlos III, Fondo de Investigacion Sanitaria, FEDER funds) and P07-FQM2496, P10-CTS-6270 and P07-FQM3099 (Junta de Andalucia, Spain)., The aim of this data article is to provide data for a basic knowledge of the properties of lipid nanocapsules, a new colloidal system with very promising applications in drug delivery. Firstly, we pay attention on how it is possible to determine their surface composition by means of electrokinetics measurements. On the other hand, we provide experimental evidences for a better understanding of the factors that determine the interactions of these nanoparticles with cells as a necessary step to guide the design of the most effective formulations. Additionally, we supply information about encapsulation efficiency of docetaxel, a potent chemotherapy drug, inside nanocapsules supporting the experimental cytotoxicity results of these nanosystems., European Union (EU) MAT2010-20370 MAT2013-43922-R, Instituto de Salud Carlos III, Fondo de Investigacion Sanitaria, FEDER funds PI10/02295, Junta de Andalucia P07-FQM2496 P10-CTS-6270 P07-FQM3099, Spanish Government

Computational 3D models of human atria and torso with encoded anatomical and functional heterogeneity. The finite element model of the atria is a multi-layer mesh with a homogeneous wall thickness between 600 and 900 μm (754.893 nodes and 515.010 elements), built with linear hexahedral elements and with regular spatial resolution of 300 µm. The model consists of: 21 regions with 53 sub-divisions representing the detailed description of fibre orientation; electrophysiological heterogeneity represented by 8 cellular models with differences in the action potential properties; and conduction velocities and anisotropy ratios tuned to each atrial region. The torso was modelled using a dataset obtained from the online open repository at the Centre for Integrative Biomedical Computing (CBIC) from University of Utah. The torso model has 190.804 nodes and 1.149.531 tetrahedral elements with a spatial resolution of 0.6 mm. It has 6 different regions: lungs, bones, liver, ventricle, blood pools, and flesh.