Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands.

Journal: The Journal of clinical endocrinology and metabolism
PMID:

Abstract

CONTEXT: Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly.

Authors

  • Luiz Eduardo Wildemberg
    Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho-Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
  • Aline Helen da Silva Camacho
    Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, RJ, Brazil.
  • Renan Lyra Miranda
    Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, RJ, Brazil.
  • Paula C L Elias
    University of São Paulo Clinics Hospital of the Faculty of Medicine of Ribeirão Preto, Endocrinology Division. Ribeirão Preto, São Paulo, Brazil. Electronic address: lamparelli@hotmail.com.
  • Nina R de Castro Musolino
    Neuroendocrine Unit, Division of Functional Neurosurgery, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
  • Debora Nazato
    Neuroendocrine Unit-Division of Endocrinology and Metabolism-Escola Paulista de Medicina-Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil.
  • Raquel Jallad
    Neuroendocrine Unit, Division of Endocrinology and Metabolism, Hospital das Clínicas, University of São Paulo Medical School, São Paulo, SP, Brazil.
  • Martha K P Huayllas
    Neuroendocrinology and Neurosurgery unit Hospital Brigadeiro, São Paulo, SP, Brazil.
  • Jose Italo S Mota
    Endocrinology and Metabolism Unit, Hospital Geral de Fortaleza, Secretaria Estadual de Saúde, Fortaleza, CE, Brazil.
  • Tobias Almeida
    Division of Endocrinology, Hospital de Clinicas de Porto Alegre (UFRGS), Porto Alegre, RS, Brazil.
  • Evandro Portes
    Institute of Medical Assistance to the State Public Hospital, São Paulo, SP, Brazil.
  • Antonio Ribeiro-Oliveira
    Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Lucio Vilar
    Neuroendocrine Unit, Division of Endocrinology and Metabolism, Hospital das Clínicas, Federal University of Pernambuco Medical School, Recife, PE, Brazil.
  • Cesar Luiz Boguszewski
    Endocrine Division (SEMPR), Department of Internal Medicine, Universidade Federal do Parana, Curitiba, PR, Brazil.
  • Ana Beatriz Winter Tavares
    Endocrine Unit-Department of Internal Medicine, Faculty of Medical Sciences, Universidade do Estado do Rio de Janeiro, RJ, Brazil.
  • Vania S Nunes-Nogueira
    Department of Internal Medicine, São Paulo State University/UNESP, Medical School, Botucatu, SP, Brazil.
  • Tânia Longo Mazzuco
    Division of Endocrinology of Medical Clinical Department, Universidade Estadual de Londrina (UEL), Londrina, PR, Brazil.
  • Carolina Garcia Soares Leães Rech
    Santa Casa de Porto Alegre, Porto Alegre, RS, Brazil.
  • Nelma Veronica Marques
    Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho-Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
  • Leila Chimelli
    Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, RJ, Brazil.
  • Mauro Czepielewski
    Division of Endocrinology, Hospital de Clinicas de Porto Alegre (UFRGS), Porto Alegre, RS, Brazil.
  • Marcello D Bronstein
    Neuroendocrine Unit, Division of Endocrinology and Metabolism, Hospital das Clínicas, University of São Paulo Medical School, São Paulo, SP, Brazil.
  • Julio Abucham
    Neuroendocrine Unit-Division of Endocrinology and Metabolism-Escola Paulista de Medicina-Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil.
  • Margaret de Castro
    Division of Endocrinology-Department of Internal Medicine, Ribeirao Preto Medical School-University of Sao Paulo, São Paulo, SP, Brazil.
  • Leandro Kasuki
    Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho-Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
  • Mônica Gadelha
    Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho-Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.