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Showing 1–2 of 2 results
Advanced filters: Author: Sara Mathie Clear advanced filters
  • Diffusion models are reframed by developing a generative blood cell classifier that performs reliably in low-data regimes, adapts to domain shifts, detects anomalies with robustness and provides uncertainty estimates that surpass clinical expert benchmarks.

    • Simon Deltadahl
    • Julian Gilbey
    • Parashkev Nachev
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 7, P: 1791-1803
  • Neutrophils demonstrate highly dynamic functional and transcriptional changes depending on their tissue environment. Udalova and colleagues use an inflammation model to examine neutrophils and find that the transcription factors RUNX1 and KLF6 control maturation; RELB, IRF5 and JUNB drive effector responses; and RFX2 and RELB promote survival.

    • Tariq E. Khoyratty
    • Zhichao Ai
    • Irina A. Udalova
    Research
    Nature Immunology
    Volume: 22, P: 1093-1106