Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations.

Journal: Communications medicine
Published Date:

Abstract

BACKGROUND: The efficacy of medical cannabis in alleviating pain has been demonstrated in clinical trials, yet questions remain regarding the extent to which specific chemical compounds contribute to analgesia versus expectation-based (placebo) responses. Effective blinding is notoriously difficult in cannabis trials, complicating the identification of compound-specific effects.

Authors

  • Adi Hatav
    Faculty of Data and Decision Sciences, Technion-Israel Institute of Technology, Haifa, Israel.
  • Yelena Vysotski
    Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel.
  • Anna Shapira
    Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel.
  • Shiri Procaccia
    Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel.
  • David Meiri
    Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel.
  • Dvir Aran
    Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel; The Taub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel.

Keywords

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