A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes.

Journal: European journal of pain (London, England)
PMID: 29923268

Abstract

BACKGROUND: Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial intelligence and machine-learning techniques may combine this knowledge with results of genetic research gathered in any context, which permits the identification of the key biological processes involved in chronic sensitization to pain.

Authors

  • D Kringel
    Institute of Clinical Pharmacology, Goethe - University, Frankfurt am Main, Germany.
  • C Lippmann
    Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Branch for Translational Medicine and Pharmacology TMP, Frankfurt.
  • M J Parnham
    Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Branch for Translational Medicine and Pharmacology TMP, Frankfurt.
  • E Kalso
    Department of Perioperative Medicine, Intensive Care and Pain Medicine, Pain Clinic, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
  • A Ultsch
    DataBionics Research Group, University of Marburg, Hans-Meerwein-Straße 6, 35032 Marburg, Germany.
  • J Lötsch
    Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany.

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