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Showing 1–5 of 5 results
Advanced filters: Author: Robert J. Bink Clear advanced filters

  • Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

    • Maximilian Zenk
    • Ujjwal Baid
    • Spyridon Bakas
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-20

  • Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here, the authors present the largest FL study to-date to generate an automatic tumor boundary detector for glioblastoma.

    • Sarthak Pati
    • Ujjwal Baid
    • Spyridon Bakas
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-17

  • The process of lateral inhibition in the canonical Delta-Notch pathway is crucial for cell-fate determination. d-Asb11, a regulator of neural progenitors in zebrafish, is an essential mediator of lateral inhibition through ubiquitylation of Delta A.

    • Sander H. Diks
    • Maria A. Sartori da Silva
    • Danica Zivkovic
    Research
    Nature Cell Biology
    Volume: 10, P: 1190-1198

  • Stanicek et al identify a shear stress-induced long non-coding RNA they name LASSIE, which stabilises junctions between endothelial cells through interactions with junctional and cytoskeletal proteins. This study provides insights into how a transcript that does not encode a protein controls endothelial response to forces associated with blood flow and endothelial barrier function.

    • Laura Stanicek
    • Noelia Lozano-Vidal
    • Reinier Abraham Boon
    ResearchOpen Access
    Communications Biology
    Volume: 3, P: 1-13