Identifying drugs with disease-modifying potential in Parkinson's disease using artificial intelligence and pharmacoepidemiology.

Journal: Pharmacoepidemiology and drug safety
PMID: 32410265

Abstract

PURPOSE: The aim of the study was to assess the feasibility of an approach combining computational methods and pharmacoepidemiology to identify potentially disease-modifying drugs in Parkinson's disease (PD).

Authors

  • Laura C Maclagan
    ICES, Life Stage Research Program, Toronto, Ontario, Canada.
  • Naomi P Visanji
    Edmond J Safra Program in Parkinson Disease, Toronto Western Hospital, Toronto, Ontario, Canada.
  • Yi Cheng
    College of Engineering, Lishui University, Lishui, 323000, China.
  • Mina Tadrous
    ICES, Life Stage Research Program, Toronto, Ontario, Canada.
  • Alix M B Lacoste
    Data Science, BenevolentAI, Brooklyn, New York, USA.
  • Lorraine V Kalia
    Edmond J Safra Program in Parkinson Disease, Toronto Western Hospital, Toronto, Ontario, Canada.
  • Susan E Bronskill
    ICES, Life Stage Research Program, Toronto, Ontario, Canada.
  • Connie Marras
    ICES, Life Stage Research Program, Toronto, Ontario, Canada.

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