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Showing 1–6 of 6 results
Advanced filters: Author: Ryan Copping Clear advanced filters

  • Trial Pathfinder uses data from electronic health records of patients with cancer to evaluate eligibility criteria and broaden restrictive criteria, which facilitates the design of more-inclusive trials while maintaining safeguards for patient safety.

    • Ruishan Liu
    • Shemra Rizzo
    • James Zou
    Research
    Nature
    Volume: 592, P: 629-633

  • The DISRUPT-DS roundtable, which brings together data science leaders from large pharmaceutical companies, aims to be a forum for sharing experiences and networking, for shaping industry-level topics and for amplifying the role of data science across pharmaceutical R&D.

    • Najat S. Khan
    • Thomas Senderovitz
    • Christoph Meier
    Comments & Opinion
    Nature Reviews Drug Discovery
    Volume: 23, P: 645-646

  • Gathering big datasets has become an essential component of machine learning in many scientific areas, but it is unavoidable that some data values are missing. An important and growing effect that needs careful attention, especially when heterogeneous data sources are combined, is that of structured missingness, where data values are missing not at random, but with a specific structure.

    • Robin Mitra
    • Sarah F. McGough
    • Ben D. MacArthur
    Reviews
    Nature Machine Intelligence
    Volume: 5, P: 13-23