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    AuthorAlbogami, Mohammed Mater (1)Chen, Chenghao (1)Chen, Ke (1)Kelly, Stephen Gerard (1)Mak, Vivian (1)Subject
    Medicine (5)
    Rheumatoid arthritis (5)
    Rheumatology (2)Ultrasound imaging (2)Bones (1)Epstein-Barr virus (1)Joints (1)Osteoporosis (1)Sjogren’s syndrome (1)... View MoreDate Issued2014 (2)2013 (1)
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    Bone loss in osteoporosis and rheumatoid arthritis diseases: The effects of disease mechanisms, age, gender and ethnic origin on responsiveness to treatment. 

    Albogami, Mohammed Mater (Queen Mary University of London, 2014-08)
    Bone makes up a framework that provides protection for internal body organs. The homeostasis of bone is maintained by a balanced process involving old bone degradation and new bone formation. However, this balance can be ...
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    ULTRASOUND IMAGING OF SYNOVITIS: RELATIONSHIP TO PATHOBIOLOGY AND RESPONSE TO THERAPY 

    Kelly, Stephen Gerard (Queen Mary University of London, 2014-02-06)
    Ultrasound (US) imaging has made significant progress over the past 20 years in relation to its role in inflammatory arthritis, and in particular, Rheumatoid Arthritis. Modern US machines provide ...
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    Ionotropic receptors (IRs) contribute to temperature synchronization in Drosophila melanogaster. 

    Chen, Chenghao (Queen Mary University of London, 18/03/2014)
    Like most organisms, Drosophila melanogaster can synchronize its physiological and behavioural processes by possessing internal circadian clock that regulates. Naturally fluctuating timing cues, like light and temperature (also ...
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    Comparative Legal Review: Reassessing the Social Contract in Europe and the United States for Patenting Human Genetic Materials 

    Mak, Vivian (Queen Mary University of London, 26/01/2015)
    In 2013, the US Supreme Court declared isolated gene sequences as ‘products of nature’ and hence, unpatentable subject matter. Paradoxically, the European Patent Office (EPO), relying on the EU Biotech Directive 98/44/EC, ...
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    Latent Dependency Mining for Solving Regression Problems in Computer Vision 

    Chen, Ke (Queen Mary University of London, 2013)
    Regression-based frameworks, learning the direct mapping between low-level imagery features and vector/scalar-formed continuous labels, have been widely exploited in computer vision, e.g. in crowd counting, age estimation ...
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