970 resultados para Lupus erythematosus, discoid


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Mode of access: Internet.

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Mode of access: Internet.

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Mode of access: Internet.

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Mode of access: Internet.

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Contiene: T. I (X, 355 p.) - T. II (606 p.) - T. III (953 p.)

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Contains 32 Spanish language pamphlets which use a Q and A (Question/Answer) format to provide information on various women's health topics.

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Contains works by Martinus Agricola, Anonymous (Georg Rhaw?), Huldricus Bretel, Arnoldus de Bruck, Sixtus Dieterich, Benedictus Ducis, Georg Förster, Vergilius Hauck, Wolff Heintz, Lupus Hellingk, Stephanus Mahu, Nicolaus P. (Piltz?), Baltasar Tesinarius, Ludovicus Senffel, Johannes Stahl, Thomas Stoltzer, Georgius Vogelhuber, and Johannes Weinmann.

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Contains polyphonic vocal works by various composers, including Heinrich Isaac, Ludwig Senfl, Thomas Stoltzer, Stephan Mahu, Mathias Eckel, Wilhelm Braytengrässer, Sixt Dieterich, Arnold von Bruck, Crecquillon, Gombert, Lupus, Richafort, and Verdelot.

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The use of granulocyte colony-stimulating factor (G-CSF)-mobilized peripheral blood as a source of stem cells has resulted in a high incidence of severe chronic graft-versus-host disease (cGVHD), which compromises the outcome of clinical allogeneic stem cell transplantation. We have studied the effect of G-CSF on both immune complex and fibrotic cGVHD directed to major (DBA/2 --> B6D2F1) or minor (B10.D2 --> BALB/c) histocompatibility antigens. In both models, donor pretreatment with G-CSF reduced cGVHD mortality in association with type 2 differentiation. However, after escalation of the donor T-cell dose, scleroderma occurred in 90% of the recipients of grafts from G-CSF-treated donors. In contrast, only 11% of the recipients of control grafts developed scleroderma, and the severity of hepatic cGVHD was also reduced. Mixing studies confirmed that in the presence of high donor T-cell doses, the severity of scleroderma was determined by the non-T-cell fraction of grafts from G-CSF-treated donors. These data confirm that the induction of cGVHD after donor treatment with G-CSF is dependent on the transfer of large numbers of donor T cells in conjunction with a putatively expanded myeloid lineage, providing a further rationale for the limitation of cell dose in allogeneic stem cell transplantation. (C) 2004 American Society for Blood and Marrow Transplantation.

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The cytokine, tumour necrosis factor-alpha (TNF-alpha) plays a key role in the pathogenesis of many chronic inflammatory and rheumatic diseases, in particular, Crohn's disease, rheumatoid arthritis, ankylosing spondylitis and psoriatic arthritis. Controlled trials have shown that the TNF inhibitors (etanercept, infliximab and adalimumab) significantly reduce symptoms and signs, improve function and quality of life, and reduce radiologically evident damage in patients with rheumatoid diseases. For reasons that are not entirely clear, etanercept does not work in Crohn's disease. Injection site and intravenous reactions and increased risk of infection (in particular, reactivation of tuberculosis) are associated with the use of these agents. Increased risk of lymphoproliferative disease, the development of lupus-like syndromes and demyelination, including optic neuritis and reactivation of multiple sclerosis, are under evaluation in long-term follow-up studies. The TNF inhibitors are expensive (about $18000 per year), and in some patients need to be given continuously to maintain benefit, even in the presence of other immunosuppressive therapy.

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A practical Bayesian approach for inference in neural network models has been available for ten years, and yet it is not used frequently in medical applications. In this chapter we show how both regularisation and feature selection can bring significant benefits in diagnostic tasks through two case studies: heart arrhythmia classification based on ECG data and the prognosis of lupus. In the first of these, the number of variables was reduced by two thirds without significantly affecting performance, while in the second, only the Bayesian models had an acceptable accuracy. In both tasks, neural networks outperformed other pattern recognition approaches.