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Contributions to the American Society of Hematology Meeting From Low- and Middle-Income Countries: An In-Depth Analysis and Call to Action.

Andrés Gómez-De LeónPerla R Colunga-PedrazaLuz Tarín-ArzagaEmmanuel BugarinLillian SungOmar Cantu-MartinezJosé Carlos Jaime-PérezGuillermo José Ruiz Argüelles
Published in: JCO global oncology (2021)
LMICs were responsible for a small fraction of abstracts at ASH18; low-income countries were practically absent. Almost half of accepted works represented a form of international collaboration, with clinical, multicenter studies predominating and COI disclosures a frequent and unexpected feature, reflecting the instrumental nature of LMIC participation and a lack of independent, robust, locally developed hematology research.
Keyphrases
  • machine learning
  • physical activity
  • optical coherence tomography
  • deep learning
  • cross sectional
  • clinical trial
  • municipal solid waste
  • double blind
  • neural network