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Bringing together scientific disciplines for collaborative undertakings: a vision for advancing the adverse outcome pathway framework.

Vinita ChauhanRuth C WilkinsDanielle BeatonMagdalini SachanaNathalie DelrueCarole YaukJason O'BrienFrancesco MarchettiSabina HalappanavarMichael BoydDaniel VilleneuveTara S Barton-MaclarenBette MeekCatalina AnghelCrina HeghesChris BarberEdward PerkinsJulie LeblancJulie Jane BurttHolly LaaksoDominique LaurierTed LazoMaurice WhelanRussell ThomasDonald A Cool
Published in: International journal of radiation biology (2021)
A joint chemical and radiological expert group was proposed as a means to encourage cooperation between risk assessors and an initial vision was discussed on a path forward. A global survey was suggested as a way to identify priority health outcomes of regulatory interest for AOP development. Multidisciplinary teams are needed to address the challenge of producing the appropriate data for risk assessments. Data management and machine learning tools were highlighted as a way to progress from weight of evidence to computational causal inference.
Keyphrases
  • machine learning
  • big data
  • electronic health record
  • quality improvement
  • body mass index
  • cross sectional
  • transcription factor
  • emergency department
  • deep learning
  • clinical practice
  • adverse drug