An anatomical subject-specific FE-model for hip fracture load prediction

In order to reduce the socio-economic burden induced by osteoporotic hip fractures, finite element models have been evaluated as an additional diagnostic tool for fracture prediction. For a future clinical application, the challenge is to reach the best compromise between model relevance and computing time. Based on this consideration, the current study focused on the development and validation of a subject-specific FE-model using an original parameterised generic model and a specific personalization method. A total of 39 human femurs were tested to failure under a quasi-static compression in stance configuration. The corresponding FE-models were generated and for each specimen the numerical fracture load (F _FEM) was compared with the experimental value (F _EXP), resulting in a significant correlation (F _EXP = 1.006 F _FEM with r ² = 0.87 and SEE = 1220 N, p < 0.05) obtained with a reasonable computing time (30 mn). Further in vivo study should confirm the ability of this FE-model to improve the fracture risk prediction.     

Ten years of the Génolevures Consortium: a brief history

We report the early phase of yeast comparative genomics conducted by a group of seven French CNRS laboratories: the Génolevures Consortium. This first multispecies comparison of Hemiascomycetes (now called Saccharomycotina) opened the way to yeast evolutionary genomics. This analysis indicates that yeasts are powerful organisms to decipher the different mechanisms acting to reshape the genome of eukaryotes during long evolution periods. This initial DNA approach reveals how biodiversity could be characterized with robust data.