4 results match your criteria: "French National Institute for Research in Computer Science and Control (INRIA)[Affiliation]"
J Am Soc Nephrol
February 2016
Department of Nephrology, Transplantation, and Dialysis and National Center of Scientific Research, Mix Unit of Research 5164, Bordeaux, France;
Cytomegalovirus (CMV) infection in solid-organ transplantation is associated with increased morbidity and mortality, particularly if a CMV mutant strain with antiviral resistance emerges. Monitoring CMV-specific T cell response could provide relevant information for patient care. We and others have shown the involvement of Vδ2(neg) γδ T cells in controlling CMV infection.
View Article and Find Full Text PDFBiophys J
July 2008
French National Institute for Research in Computer Science and Control (INRIA), Domaine de Voluceau-Rocquencourt, Le Chesnay, France.
In this article, we show, using a mathematical multiscale model, how cell adhesion may be regulated by interactions between E-cadherin and beta-catenin and how the control of cell adhesion may be related to cell migration, to the epithelial-mesenchymal transition and to invasion in populations of eukaryotic cells. E-cadherin mediates cell-cell adhesion and plays a critical role in the formation and maintenance of junctional contacts between cells. Loss of E-cadherin-mediated adhesion is a key feature of the epithelial-mesenchymal transition.
View Article and Find Full Text PDFIEEE Trans Med Imaging
October 2006
French National Institute for Research in Computer Science and Control (INRIA), 06902 Sophia Antipolis, France.
The study of cerebral microvascular networks requires high-resolution images. However, to obtain statistically relevant results, a large area of the brain (several square millimeters) must be analyzed. This leads us to consider huge images, too large to be loaded and processed at once in the memory of a standard computer.
View Article and Find Full Text PDFIEEE Trans Biomed Eng
December 2002
French National Institute for Research in Computer Science and Control (INRIA), Project SOSSA, Bt. 12, BP 105, Le Chesnay 78153, France.
Time-frequency distributions, such as smoothed pseudo Wigner-Ville distribution (SPWVD), complex demodulation (CDM), and provide useful time-varying spectral parameter estimators. However, each of these methods has limitations that a joint utilization could largely reduce, due to their interesting complementary features. The aim of this paper is to validate the joint SPWVD-CDM method on synthetic and real cardiovascular time series with normal and reduced variability such as in autonomic blockade or autonomic deficiency.
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