Use of mesenchymal stem cells for cutaneous repair and skin substitute elaboration.

Human mesenchymal stem cells (MSCs) are a heterogeneous population of fibroblast-like cells, which are present in different locations, including bone marrow, adipose tissue, extra-foetal tissues, gingiva and dermis. MSCs, which present multipotency capacities, important expansive potential and immunotolerance properties, remain an attractive tool for tissue repair and regenerative medicine. Currently, several studies and clinical trials highlight the use of MSCs in cutaneous repair underlining that their effects are essentially due to the numerous factors that they release. MSCs are also used in skin substitute development. In this study, we will first discuss the different sources of MSCs actually available. We will then present results showing that bone marrow-derived MSCs prepared according to Good Manufacturing Practices and included in a dermal equivalent are able to promote appropriate epidermis growth and differentiation. These data demonstrate that bone marrow-derived MSCs represent a satisfactory alternative to dermal fibroblasts in order to develop skin substitute. In addition, MSCs could provide a useful alternative to sustain epidermis development and to promote wound healing.

Assessing the Effect of Visualizations on Bayesian Reasoning through Crowdsourcing.

People have difficulty understanding statistical information and are unaware of their wrong judgments, particularly in Bayesian reasoning. Psychology studies suggest that the way Bayesian problems are represented can impact comprehension, but few visual designs have been evaluated and only populations with a specific background have been involved. In this study, a textual and six visual representations for three classic problems were compared using a diverse subject pool through crowdsourcing. Visualizations included area-proportional Euler diagrams, glyph representations, and hybrid diagrams combining both. Our study failed to replicate previous findings in that subjects' accuracy was remarkably lower and visualizations exhibited no measurable benefit. A second experiment confirmed that simply adding a visualization to a textual Bayesian problem is of little help, even when the text refers to the visualization, but suggests that visualizations are more effective when the text is given without numerical values. We discuss our findings and the need for more such experiments to be carried out on heterogeneous populations of non-experts.