eLife

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   10.64898/2026.05.28.727987

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9. Supervised Domain Adaptation Mitigates Cross-Ethnicity Prediction Error in Neuroimaging-Based Cognitive Prediction

   This article has 5 authors:

   1. Farzane Lal Khakpoor
   2. William van der Vliet
   3. Jeremiah Deng
   4. Yue Wang
   5. Narun Pat

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This study provides a useful investigation of machine learning approaches that can lessen potential gaps in the prediction of behaviour from brain imaging data across majority and minority samples. The authors provide incomplete evidence to suggest that domain adaptation methods can mitigate these gaps. The analysis would benefit from further testing of model generalisability and the inclusion of recommended workflows for how the tested approaches can be used in future research. This work will be of interest to scientists using machine learning in brain imaging.

   Reviewed by eLife

10. A molecular glue in plants: The lectin domain of LecRK-I.9 creates persistent plasma membrane - cell wall connections

    This article has 7 authors:

    1. Denise S. Arico
    2. Ugo Segura
    3. Annalisa Bellandi
    4. Claire Lionnet
    5. Marjolaine Martin
    6. Olivier Hamant
    7. Herve Canut

    This article has been curated by 1 group:

    • Curated by eLife

      eLife Assessment

      The cell wall and plasma membrane are tightly associated in plant cells, and even after plasmolysis, sites of strong contact remain between the plasma membrane and cell wall. Here, the authors provide solid data to implicate an Arabidopsis lectin-like receptor kinase in plasma-membrane-to-cell-wall contact sites, and propose that these attachment sites are of importance for plant resistance to hyperosmotic stress, yet the evidence remains incomplete without key controls. These important results broaden our view on dynamic modulation of plasma membrane topology and its physiological consequences.

    Reviewed by eLife