Machine learning predicts treatment sensitivity in multiple myeloma based on molecular and clinical information coupled with drug response

• Lucas Venezian Povoa,

  Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

  Affiliations Aeronautics Institute of Technology (ITA), Bioengineering Lab, São José dos Campos, Brazil, Aeronautics Institute of Technology (ITA), Computer Science Division, São José dos Campos, Brazil, AC Camargo Cancer Center (ACCCC), International Research and Educational Center, São Paulo, Brazil, Federal Institute for Education, Science, and Technology of São Paulo (IFPS), Jacarei, Brazil

  https://orcid.org/0000-0003-4002-4122

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• Carlos Henrique Costa Ribeiro,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

  Affiliations Aeronautics Institute of Technology (ITA), Bioengineering Lab, São José dos Campos, Brazil, Aeronautics Institute of Technology (ITA), Computer Science Division, São José dos Campos, Brazil

  https://orcid.org/0000-0002-5760-8426

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• Israel Tojal da Silva

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: itojal@accamargo.org.br

  Affiliation AC Camargo Cancer Center (ACCCC), International Research and Educational Center, São Paulo, Brazil

  https://orcid.org/0000-0002-4687-1499

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