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Showing 1–2 of 2 results
Advanced filters: Author: Edgardo Ferran Clear advanced filters
  • There have been significant recent advances in the development of single-cell technologies, providing remarkable opportunities for drug discovery and development. Here, Ferran and colleagues discuss how single-cell technologies, primarily single-cell RNA sequencing methods, are being applied in the drug discovery pipeline, from target identification to clinical decision-making. Ongoing challenges and potential future directions are discussed.

    • Bram Van de Sande
    • Joon Sang Lee
    • Edgardo Ferran
    Reviews
    Nature Reviews Drug Discovery
    Volume: 22, P: 496-520
  • Machine learning has been applied to numerous stages in the drug discovery pipeline. Here, Vamathevan and colleagues discuss the most useful techniques and how machine learning can promote data-driven decision making in drug discovery and development. They highlight major hurdles in the field, such as the required data characteristics for applying machine learning, which will need to be solved as machine learning matures.

    • Jessica Vamathevan
    • Dominic Clark
    • Shanrong Zhao
    Reviews
    Nature Reviews Drug Discovery
    Volume: 18, P: 463-477