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      University of Skövde, link to startpage

      Pierre Dönnes

      Adjunct Senior Lecturer in Bioinformatics
      School of Bioscience
      Room G2240

      Research

      2024

      Sandra Tejedor, Maria Wågberg, Cláudia Correia, Karin Åvall, Mikko Hölttä, Leif Hultin, Michael Lerche, Nigel Davies, Nils Bergenhem, Arjan Snijder, Tom Marlow, Pierre Dönnes, Regina Fritsche-Danielson, Jane Synnergren, Karin Jennbacken et al.

      2020

      Jane Synnergren, Kristina Vukusic, Pierre Dönnes, Marianne Jonsson, Anders Lindahl, Göran Dellgren, Anders Jeppsson, Julia Asp

      Physiological Genomics

      2020. Article. https://doi.org/10.1152/physiolgenomics.00036.2019

      2019

      Delphine Bachelet, Thilo Albert, Cyprien Mbogning, Signe Hässler, Yuan Zhang, Stephan Schultze-Strasser, Yohann Repessé, Julie Rayes, Anna Pavlova, Behnaz Pezeshkpoor, Kerstin Liphardt, Julie E. Davidson, Agnès Hincelin-Méry, Pierre Dönnes, Sébastien Lacroix-Desmazes et al.

      Poul Erik H. Jensen, Clemens Warnke, Kathleen Ingenhoven, Luca Piccoli, Marcia Gasis, Christina Hermanrud, Blanca M. Fernandez-Rodriguez, Malin Ryner, Daniel Kramer, Jenny Link, Ryan Ramanujam, Michael Auer, Dorothea Buck, Verena Grummel, Elisa Bertotti et al.

      Journal of Neuroimmunology

      2019. Article. https://doi.org/10.1016/j.jneuroim.2018.11.002

      2018

      Louise Delsing, Pierre Dönnes, José Sánchez, Maryam Clausen, Dmitrios Voulgaris, Anna Falk, Anna Herland, Gabriella Brolén, Henrik Zetterberg, Ryan Hicks, Jane Synnergren

      Stem Cells

      2018. Article. https://doi.org/10.1002/stem.2908 Open Access

      Jane Synnergren, Nidal Ghosheh, Pierre Dönnes

      10th International Conference on Bioinformatics and Computational Biology (BICOB): Las Vegas, Nevada, USA 19 – 21 March 2018

      2018. Conference paper.

      2012

      Magdalena Feldhahn, Pierre Dönnes, Benjamin Schubert, Karin Schilbach, Hans-Georg Rammensee, Oliver Kohlbacher

      JIM - Journal of Immunological Methods

      2012. Article. https://doi.org/10.1016/j.jim.2012.09.004

      Ongoing projects

      BIO-AID - Biomedical AI-driven data analytics

      Artificial intelligence (AI) is an important driving force that is rapidly transforming health care and pharmaceutical industries in several ways. The vast amount of biomedical data available today poses unique opportunities to develop a repertoire of AI-based models. Although the results from studies using AI for solving biomedical problems are encouraging, there are numerous scientific challenges associated with AI for life science applications that need to be addressed.

      October 2020 - September 2024 Systems Biology
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se