Bilal Syed

Nov 29, 2024 | biorxiv.org | Marlee M Vandewouw |Bilal Syed |Noah Barnett |Alfredo Arias

AbstractInternalizing problems are associated with a wide range of adverse outcomes. While we have some understanding about risk factors (e.g., neurodevelopmental conditions), biological markers are not well understood. Here, we used deep learning to predict cross-sectional (N=14,523) and worsening longitudinal trajectories (N=10,540) of internalizing problems from measures of brain structure.

Aug 9, 2024 | medrxiv.org | Linn Norbom |Bilal Syed |Rikka Kjelkenes |Jaroslav Rokicki

The authors have declared no competing interest. This work was supported by the Research Council of Norway The South-Eastern Norway Regional Health Authority The ERA-Net Cofund through the ERA PerMed project IMPLEMENT, and the European Research Council under the European Unions Horizon 2020 research and Innovation program (ERC StG Grant #802998). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.