Biomarker development from functional precision medicine datasets via explainable machine learning. Article

Berlow, Noah, Acanda de la Rocha, Arlet M, Fader, Maggie Eidson et al. (2024). Biomarker development from functional precision medicine datasets via explainable machine learning. . JOURNAL OF CLINICAL ONCOLOGY, 42(16_suppl), 10061-10061. 10.1200/jco.2024.42.16_suppl.10061

cited authors

  • Berlow, Noah; Acanda de la Rocha, Arlet M; Fader, Maggie Eidson; Coats, Ebony; Saghira, Cima; Espinal, Paula; Galano, Jeanette; Khatib, Ziad; Abdella, Haneen; Maher, Ossama; Andrade-Feraud, Cristina; Holcomb, Baylee; Ghurani, Yasmin; Rimblas, Lilliam; Guilarte, Tomas; Hu, Nan; Salyakina, Daria; Azzam, Diana

authors

publication date

  • June 1, 2024

published in

keywords

  • 3 Good Health and Well Being
  • 32 Biomedical and Clinical Sciences
  • 3211 Oncology and Carcinogenesis
  • 5.1 Pharmaceuticals
  • Biotechnology
  • Cancer
  • Cancer Genomics
  • Childhood Leukemia
  • Clinical Research
  • Genetics
  • Health Disparities
  • Hematology
  • Human Genome
  • Machine Learning and Artificial Intelligence
  • Minority Health
  • Networking and Information Technology R&D (NITRD)
  • Orphan Drug
  • Pediatric
  • Pediatric Cancer
  • Precision Medicine
  • Prevention
  • Rare Diseases

Digital Object Identifier (DOI)

publisher

  • American Society of Clinical Oncology (ASCO)

start page

  • 10061

end page

  • 10061

volume

  • 42

issue

  • 16_suppl