83 research outputs found

    Salivary Flow and Composition in Healthy And Diseased Adults

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    Ernst Fuchs (1851-1930) and the Worldwide Renown of the Vienna School of Ophthalmology around 1900

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    By presenting documents and original photographs of the ophthalmologist Ernst Fuchs his life and scientific work are presented in a way never done before. German Version: http://e-book.fwf.ac.at/o:1551 English Version: http://e-book.fwf.ac.at/o:1773Anhand von bisher größtenteils noch niemals veröffentlichten Originaldokumenten und -abbildungen werden Leben und wissenschaftliches Wirken des Ophthalmologen Ernst Fuchs dargestellt. Ernst Fuchs war um 1900 nicht nur der bedeutendste österreichische Ophthalmologe, sondern genoss auch international hohes Ansehen. Er führte die Wiener ophthalmologische Schule zu seiner Zeit zu Weltruf. Deutsche Version: http://e-book.fwf.ac.at/o:1551 Englische Version: http://e-book.fwf.ac.at/o:177

    Ernst Fuchs (1851-1930) and the Worldwide Renown of the Vienna School of Ophthalmology around 1900

    Get PDF
    By presenting documents and original photographs of the ophthalmologist Ernst Fuchs his life and scientific work are presented in a way never done before. German Version: http://e-book.fwf.ac.at/o:1551 English Version: http://e-book.fwf.ac.at/o:177

    Applications of big knowledge summarization

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    Advanced technologies have resulted in the generation of large amounts of data ( Big Data ). The Big Knowledge derived from Big Data could be beyond humans\u27 ability of comprehension, which will limit the effective and innovative use of Big Knowledge repository. Biomedical ontologies, which play important roles in biomedical information systems, constitute one kind of Big Knowledge repository. Biomedical ontologies typically consist of domain knowledge assertions expressed by the semantic connections between tens of thousands of concepts. Without some high-level visual representation of Big Knowledge in biomedical ontologies, humans cannot grasp the big picture of those ontologies. Such Big Knowledge orientation is required for the proper maintenance of ontologies and their effective use. This dissertation is addressing the Big Knowledge challenge - How to enable humans to use Big Knowledge correctly and effectively (referred to as the Big Knowledge to Use (BK2U) problem) - with a focus on biomedical ontologies. In previous work, Abstraction Networks (AbNs) have been demonstrated successful for the summarization, visualization and quality assurance (QA) of biomedical ontologies. Based on the previous research, this dissertation introduces new AbNs of various granularities for Big Knowledge summarization and extends the applications of AbNs. This dissertation consists of three main parts. The first part introduces two advanced AbNs. One is the weighted aggregate partial-area taxonomy with a parameter to flexibly control the summarization granularity. The second is the Ingredient Abstraction Network (IAbN) for the National Drug File - Reference Terminology (NDF-RT) Chemical Ingredients hierarchy, for which the previously developed AbNs for hierarchies with outgoing relationships, are not applicable. Since NDF-RT\u27s Chemical Ingredients hierarchy has no outgoing relationships. The second part describes applications of the two advanced AbNs. A study utilizing the weighted aggregate partial-area taxonomy for the identification of major topics in SNOMED CT\u27s Specimen hierarchy is reported. A multi-layer interactive visualization system of required granularity for ontology comprehension, based on the weighted aggregate partial-area taxonomy, is demonstrated to comprehend the Neoplasm subhierarchy of National Cancer Institute thesaurus (NCIt). The IAbN is applied for drug-drug interaction (DDI) discovery. The third part reports eight family-based QA studies on NCIt\u27s Neoplasm, Gene, and Biological Process hierarchies, SNOMED CT\u27s Infectious disease hierarchy, the Chemical Entities of Biological Interest ontology, and the Chemical Ingredients hierarchy in NDF-RT. There is no one-size-fits-all QA method and it is impossible to find a QA method for each individual ontology. Hence, family-based QA is an effective way, i.e., one QA technique could be applicable to a whole family of structurally similar ontologies. The results of these studies demonstrate that complex concepts and uncommonly modeled concepts are more likely to have errors. Furthermore, the three studies on overlapping concepts in partial-area taxonomies reported in this dissertation combined with previous three studies prove the success of overlapping concepts as a QA methodology for a whole family of 76 similar ontologies in BioPortal

    Pharmaceutical compounding and drug repositioning from hospital pharmacy in situations of therapeutic gap

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    This doctoral thesis focuses on offering therapeutic alternatives through pharmaceutical compounding and drug repositioning from the hospital pharmacy to cover therapeutic gaps. An ophthalmic compounded formulation of cysteamine in hyaluronic acid packaged in novel single-dose containers was developed for the treatment of ocular cystinosis. On the other hand, an inhaled compounded formulation of ethanol was developed for the treatment of SARS-CoV-2 infection, and subsequently studied for efficacy and safety in the phase II clinical trial ALCOVID-19. In both cases, appropriate galenic development and characterisation has been performed in conjunction with preclinical pharmacokinetic studies prior to appropriate translation into clinical practice
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