Local paclitaxel deposition scales associated inversely with lipid content in control (injury + normal diet, n = 2) and diseased arteries (injury + cholesterol/oil diet + normal diet, n = 2). Fluorescent paclitaxel (green) and lipid (insert, red) distribution. What then can be done? As above, we can ask good questions and appreciate interesting results as Diego el al. We can also realize that while no one model can provide precise recapitulation of the human experience we can obtain deep insight through the integration of results from multiple models. We need not only focus on the biology of isolated cells on a cell culture plate or on the results obtained in a particular animal model.

Computational models will become even more powerful tools to simulate the fluid mechanic environment and to predict drug distribution along the vessel and device outcome in a patient/device specific manner. We have already seen sophisticated in vitro bioreactors that recapitulate not only both the cellular and matrix components but also the mechanic environments that blood vessels are exposed to. Free Hotmail Password Hack Programs more. Clinically relevant data can only be obtained by interconnecting disciplines to develop new powerful methods. It is increasingly evident that critical clinical problems and complex cell-tissue-device interactions may be unraveled best by a pandisciplinary approach that brings engineers of all kinds and mathematicians together with biologists and physicians (). Only integrated approaches–computational, in vitro and in vivo–will enable us to bridge the gap between scientific findings and clinical applications.

This is perhaps what we should learn from Cervantes. First, we need to bring “examples that are tangible, easy, understandable, illustrative” and then support this “with mathematical validation so that they cannot be denied”. It seems like we knew what to do a long time ago.