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The increasing volume of data describing human disease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the @neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together(More)
In mid-2004, the Disease Management Association of America (DMAA) Patient Satisfaction Workgroup in association with J.D. Power and Associates (JDPA) conducted a literature review and a member survey to gain an understanding of the nature of patient satisfaction measurement as it pertains to disease management (DM) programs within the DM industry. A review(More)
We have previously developed Epitheliome, a software agent representation of the growth and repair characteristics of epithelial cell populations, where cell behaviour is governed by a number of simple rules. In this paper, we describe how this model has been extended to incorporate an example of a molecular 'mechanism' behind a rule-in this case, how(More)
Recently we found that retinoic acid receptors (alpha, beta, gamma) and retinoid X receptors (alpha, beta, gamma) are variably expressed in MCF10A model of breast cancer development and progression. Here we employed this model to assess both in vitro and in vivo sensitivity of cells to retinoids and the role of RARbeta2 in mediating the antitumor potential(More)
The VPH-Share project objective is to store, share, integrate, and link data, information, knowledge, and wisdom about the physiopathology of the human body to enable their reuse within the virtual physiological human community. Therefore, the projects develops a modular and generic data management platform on top of a distributed Cloud infrastructure. The(More)
The European VPH-Share project develops a comprehensive service framework with the objective of sharing clinical data, information, models and workflows focusing on the analysis of the human physiopathology within the Virtual Physiological Human (VPH) community. The project envisions an extensive and dynamic data infrastructure built on top of a secure(More)