A computational model to predict severity of atopic eczema from 30 serum proteins - 06/10/16
Doi : 10.1016/j.jaci.2016.04.018
Linda Krause, MSc a, Vagkan Mourantchanian, MD b, Knut Brockow, MD b, Fabian J. Theis, PhD a, c, Carsten B. Schmidt-Weber, PhD d, Bettina Knapp, PhD a, Nikola S. Mueller, PhD a, Stefanie Eyerich, PhD d 
a Institute of Computational Biology, Helmholtz Center Munich, Neuherberg, Germany
b Department of Dermatology and Allergy, Technische Universität Munich, Munich, Germany
c Department of Mathematics, Technische Universität München, Munich, Germany
d ZAUM – Center of Allergy and Environment, Technische Universität and Helmholtz Center Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| The authors were supported by the Helmholtz Association (grant no. VH-NG-923), the Fondation Acteria, the German Research Foundation (grant no. EY97/3-1), the Priority Program of the German Research Foundation (InKoMBio, grant no. Th900/6-2), the European Union (ERC [259294]11), and the Bavarian Academy of Sciences. |
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| Disclosure of potential conflict of interest: F. J. Theis has received research support from ERC [259294]11. C. B. Schmidt-Weber has received research support from SFB/TR22, Allergopharma, Zeller AG, Pfizer, and the Bavarian Science Foundation; has received consultancy fees from GLS; has provided expert testimony for patent lawyers; has received lecture fees from Leopharma and Allergopharma; has a patent through LetiPharma, PLS Design; and has received travel support from Allergopharma. N. S. Mueller has received research support from the Priority Program of the 20 German Research Foundation (InKoMBio, grant no. Th900/6-2). S. Eyerich has received research support from the Helmholtz Association. The rest of the authors declare that they have no relevant conflicts of interest. |
© 2016
American Academy of Allergy, Asthma & Immunology. Publié par Elsevier Masson SAS. Tous droits réservés.
Vol 138 - N° 4
P. 1207 - octobre 2016 Retour au numéro
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