Institution
Medical University of Graz
Education•Graz, Steiermark, Austria•
About: Medical University of Graz is a education organization based out in Graz, Steiermark, Austria. It is known for research contribution in the topics: Population & Medicine. The organization has 5684 authors who have published 12349 publications receiving 417282 citations.
Topics: Population, Medicine, Cancer, Transplantation, Vitamin D and neurology
Papers published on a yearly basis
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TL;DR: The results of these 15 studies were largely positive, suggesting that iPods, iPod Touch, iPads, and related devices are viable technological aids for individuals with developmental disabilities.
512 citations
University of Milan1, Medical University of Graz2, Harvard University3, Technische Universität München4, University of Cincinnati Academic Health Center5, University of Mainz6, Semmelweis University7, Medical University of South Carolina8, University of California, San Diego9, University of Salerno10
TL;DR: Four types of acquired and three types of hereditary angioedema were identified as separate forms from the analysis of the literature and were presented in detail at the meeting.
Abstract: Angioedema is defined as localized and self-limiting edema of the subcutaneous and submucosal tissue, due to a temporary increase in vascular permeability caused by the release of vasoactive mediator(s). When angioedema recurs without significant wheals, the patient should be diagnosed to have angioedema as a distinct disease. In the absence of accepted classification, different types of angioedema are not uniquely identified. For this reason, the European Academy of Allergy and Clinical Immunology gave its patronage to a consensus conference aimed at classifying angioedema. Four types of acquired and three types of hereditary angioedema were identified as separate forms from the analysis of the literature and were presented in detail at the meeting. Here, we summarize the analysis of the data and the resulting classification of angioedema.
510 citations
European Bioinformatics Institute1, Newcastle University2, Newcastle upon Tyne Hospitals NHS Foundation Trust3, Oregon Health & Science University4, University of Genoa5, Istituto Giannina Gaslini6, King Edward Memorial Hospital7, University of Western Australia8, American College of Medical Genetics9, Anschutz Medical Campus10, Johns Hopkins University11, Ludwig Maximilian University of Munich12, Children's Hospital of Philadelphia13, Austrian Academy of Sciences14, University of Connecticut15, French Institute of Health and Medical Research16, Lawrence Berkeley National Laboratory17, University of Michigan18, University of Freiburg19, University of Luxembourg20, Oregon State University21, Chestnut Hill College22, Medical University of Graz23, Queen Mary University of London24, Hebrew University of Jerusalem25, University of Pennsylvania26
TL;DR: Recent major extensions of the Human Phenotype Ontology for neurology, nephrology, immunology, pulmonology, newborn screening, and other areas are presented and new efforts to harmonize computational definitions of phenotypic abnormalities across the HPO and multiple phenotype ontologies used for animal models of disease are presented.
Abstract: The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehensive logical standard to describe and computationally analyze phenotypic abnormalities found in human disease. The HPO is now a worldwide standard for phenotype exchange. The HPO has grown steadily since its inception due to considerable contributions from clinical experts and researchers from a diverse range of disciplines. Here, we present recent major extensions of the HPO for neurology, nephrology, immunology, pulmonology, newborn screening, and other areas. For example, the seizure subontology now reflects the International League Against Epilepsy (ILAE) guidelines and these enhancements have already shown clinical validity. We present new efforts to harmonize computational definitions of phenotypic abnormalities across the HPO and multiple phenotype ontologies used for animal models of disease. These efforts will benefit software such as Exomiser by improving the accuracy and scope of cross-species phenotype matching. The computational modeling strategy used by the HPO to define disease entities and phenotypic features and distinguish between them is explained in detail.We also report on recent efforts to translate the HPO into indigenous languages. Finally, we summarize recent advances in the use of HPO in electronic health record systems.
503 citations
University of Barcelona1, Medical University of Graz2, Leiden University Medical Center3, Paris Diderot University4, University College London5, University of Padua6, University of Bologna7, Ludwig Maximilian University of Munich8, King's College London9, Katholieke Universiteit Leuven10, University of Bonn11, University of Paris-Sud12, Goethe University Frankfurt13, Université libre de Bruxelles14, University of Hamburg15
TL;DR: Patients with AD without ACLF showed very high baseline levels of inflammatory cytokines, HNA2, PRC, and PCC, and the strength of association of ACLF with SI was higher than with SCD, supporting SI as the primary driver of ACLf in cirrhosis.
503 citations
Université libre de Bruxelles1, Creighton University2, University of Padua3, Tel Aviv University4, Harvard University5, University of Zurich6, University of Liège7, University of Melbourne8, University of Picardie Jules Verne9, Université catholique de Louvain10, Aarhus University11, Medical University of South Carolina12, Technion – Israel Institute of Technology13, DaimlerChrysler Aerospace14, Karolinska Institutet15, University of Paris16, Medical University of Graz17, University of Brescia18, Ruhr University Bochum19
TL;DR: An international expert panel formulated recommendations on vitamin D for clinical practice, taking into consideration the best evidence available based on published literature today, and reached substantial agreement about the need for vitamin D supplementation in specific groups of patients in these clinical areas.
501 citations
Authors
Showing all 5763 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Ian J. Deary | 166 | 1795 | 114161 |
| James F. Wilson | 146 | 677 | 101883 |
| Nancy L. Pedersen | 145 | 890 | 94696 |
| William Wijns | 127 | 752 | 95517 |
| Andrew Simmons | 102 | 460 | 36608 |
| Franz Fazekas | 101 | 629 | 49775 |
| Hans-Peter Hartung | 100 | 810 | 49792 |
| Michael Trauner | 98 | 667 | 35543 |
| Dietmar Fuchs | 97 | 1119 | 39758 |
| Funda Meric-Bernstam | 96 | 753 | 36803 |
| Ulf Landmesser | 94 | 564 | 46096 |
| Aysegul A. Sahin | 93 | 322 | 30038 |
| Frank Madeo | 92 | 269 | 45942 |
| Takayoshi Ohkubo | 91 | 631 | 69634 |
| Jürgen C. Becker | 90 | 637 | 28741 |