9,783 research outputs found

    Review article: future research on celiac disease- a position report from the European multistakeholder platform on celiac disease

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    Background CDEUSSA is a Specific Support Action project from the Sixth Framework Programme Priority of the European Union (EU). Its aim is to bring together basic and applied research in the area of coeliac disease (CD). This paper reviews the main issues that are a result of the CDEUSSA initiative. Aim To identify the major issues in need of investigation in the areas of clinical aspects, treatment, prevention and public health. Methods Key stakeholders, representing a wide range of knowledge with crucial importance for CD research and practice, have participated in two workshops aimed at identifying and proposing to the EU, as high priority research, topics in the areas of clinical aspects, treatment, prevention and public health. Results In public health, the overall goal should be to improve quality of life of the European population by implementing primary prevention strategies, early diagnosis and improved treatments for CD. New treatment strategies need to be developed. The option of primary prevention should be fully explored, which requires combined epidemiological, clinical and basic scientific research efforts. Such studies should also consider the importance of gene–environment interactions in the development of CD. Increased knowledge is needed on the natural history of CD. Diagnostic criteria need to be revised. Conclusions To achieve these goals, a collaboration of the stakeholders is fundamental, including research and patient organizations, as well as industries within both diagnostics and food productio

    Review article: future research on coeliac disease - a position report from the European multistakeholder platform on coeliac disease (CDEUSSA).

    No full text
    BACKGROUND: CDEUSSA is a Specific Support Action project from the Sixth Framework Programme Priority of the European Union (EU). Its aim is to bring together basic and applied research in the area of coeliac disease (CD). This paper reviews the main issues that are a result of the CDEUSSA initiative. AIM: To identify the major issues in need of investigation in the areas of clinical aspects, treatment, prevention and public health. METHODS: Key stakeholders, representing a wide range of knowledge with crucial importance for CD research and practice, have participated in two workshops aimed at identifying and proposing to the EU, as high priority research, topics in the areas of clinical aspects, treatment, prevention and public health. RESULTS: In public health, the overall goal should be to improve quality of life of the European population by implementing primary prevention strategies, early diagnosis and improved treatments for CD. New treatment strategies need to be developed. The option of primary prevention should be fully explored, which requires combined epidemiological, clinical and basic scientific research efforts. Such studies should also consider the importance of gene-environment interactions in the development of CD. Increased knowledge is needed on the natural history of CD. Diagnostic criteria need to be revised. CONCLUSIONS: To achieve these goals, a collaboration of the stakeholders is fundamental, including research and patient organizations, as well as industries within both diagnostics and food production

    Systematic review with meta-analysis: early infant feeding and celiac disease - update 2015.

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    BACKGROUND: New evidence emerged on early feeding practices and the risk of coeliac disease. AIM: To systematically update evidence on these practices to find out whether there is a need to revise current recommendations. METHODS: MEDLINE, EMBASE and the Cochrane Library were searched from July 2012 (end of last search) to February 2015 for studies of any design that assessed the effect of gluten consumption and breastfeeding on the development of coeliac disease and/or coeliac disease-related autoimmunity. RESULTS: We identified 21 publications, including two, new, large, randomised controlled trials performed in high-risk infants. Exclusive or any breastfeeding, as well as breastfeeding at the time of gluten introduction, did not reduce the risk of developing coeliac disease during childhood. For infants at high risk of developing coeliac disease, gluten introduction at 4 months of age in very small amounts, or at 6 or 12 months of age, resulted in similar rates of coeliac disease diagnosis in early childhood. Later gluten introduction was associated with later development of coeliac specific autoimmunity and coeliac disease during childhood, but not total risk reduction. Observational studies indicate that consumption of a higher amount of gluten at weaning may increase the risk for coeliac disease development. CONCLUSIONS: Infant feeding practices (breastfeeding, time of gluten introduction) have no effect on the risk of developing coeliac disease during childhood (at least at specific timeframes evaluated in the included studies), necessitating an update of current European recommendations

    Metadata Representations for Queryable ML Model Zoos

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    Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes. The metatada is currently not standardised; its expressivity is limited; and there is no interoperable way to store and query it. Consequently, model search, reuse, comparison, and composition are hindered. In this paper, we advocate for standardized ML model metadata representation and management, proposing a toolkit supported to help practitioners manage and query that metadata.Web Information SystemsHuman-Centred Artificial Intelligenc

    A Manifesto of Nodalism

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    This paper proposes the notion of Nodalism as a means describing contemporary culture and of understanding my own creative practice in electronic music composition. It draws on theories and ideas from Kirby, Bauman, Bourriaud, Deleuze, Guatarri, and Gochenour, to demonstrate how networks of ideas or connectionist neural models of cognitive behaviour can be used to contextualize, understand and become a creative tool for the creation of contemporary electronic music

    Optimizing ML Inference Queries Under Constraints

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    The proliferation of pre-trained ML models in public Web-based model zoos facilitates the engineering of ML pipelines to address complex inference queries over datasets and streams of unstructured content. Constructing optimal plan for a query is hard, especially when constraints (e.g. accuracy or execution time) must be taken into consideration, and the complexity of the inference query increases. To address this issue, we propose a method for optimizing ML inference queries that selects the most suitable ML models to use, as well as the order in which those models are executed. We formally define the constraint-based ML inference query optimization problem, formulate it as a Mixed Integer Programming (MIP) problem, and develop an optimizer that maximizes accuracy given constraints. This optimizer is capable of navigating a large search space to identify optimal query plans on various model zoos.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Web Information SystemsHuman-Centred Artificial Intelligenc
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