Skip to main content

Improving Cancer Diagnosis and Care Clinical Application of Computational Methods in Precision Oncology: Proceedings of a Workshop (2019) / Chapter Skim
Currently Skimming:

Appendix A: Statement of Task
Pages 65-66

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 65...
... • Potential standards and best practices for computational software and methodological approaches for the use of big data to inform clinical care of patients with cancer, especially in regard to multiparameter/ multitreatment testing and interpretation. • Potential opportunities to improve the translation of omics technologies into oncology practice, such as harmonization of standards for omics based discovery, development, and evaluation; data sharing and reproducibility; oversight and regulation; education, training, and workforce needs; and use of dissemination and implementation science strategies.
Read the entire page →

Key Terms

  • omics technologies
  • big data
  • data sharing
  • potential opportunities
  • clinical care

  • methodological approaches
  • inform clinical
  • based discovery
  • computational software
  • oncology practice

  • implementation science
  • science strategies
  • workshop sessions
  • multitreatment testing
  • institutional guidelines

  • designated rapporteur
  • invite speakers
  • potential standards


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
    More information on Chapter Skim is available.