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Colin Birkenbihl

Showing results (11-20 of 38) with videos related to

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Bioinformatics (Oxford, England)|May 8, 2021
CLEP: a hybrid data- and knowledge-driven framework for generating patient representationsVinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, et al.
The EPMA Journal|September 5, 2022
Pre-pregnancy check-up of maternal vascular status and associated phenotype is crucial for the health of mother and offspringMaria Evsevieva, Oksana Sergeeva, Alena Mazurakova, et al.
Iscience|May 9, 2025
On the fidelity versus privacy and utility trade-off of synthetic patient dataTim Adams, Colin Birkenbihl, Karen Otte, et al.
Nature Communications|February 10, 2023
Forecasting individual progression trajectories in Alzheimer's diseaseEtienne Maheux, Igor Koval, Juliette Ortholand, et al.
Neuroimage|November 27, 2025
Corrigendum to "Aging as an active player in Alzheimer's disease classification: Insights from feature selection in BrainAge models" [NeuroImage (2025): 121548]Jorge Garcia Condado, Ines Verdugo Recuero, Iñigo Tellaetxe Elorriaga, et al.
Bioinformatics (Oxford, England)|January 5, 2022
STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphsHelena Balabin, Charles Tapley Hoyt, Colin Birkenbihl, et al.
The EPMA Journal|June 6, 2024
Digital biomarkers: 3PM approach revolutionizing chronic disease management - EPMA 2024 positionIvica Smokovski, Nanette Steinle, Andrew Behnke, et al.
Bioinformatics (Oxford, England)|June 2, 2022
Integrative data semantics through a model-enabled data stewardshipPhilipp Wegner, Sebastian Schaaf, Mischa Uebachs, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|August 21, 2025
The Mobile Toolbox for remote, self-administered cognitive assessment in older adults: associations with in-clinic cognitive testing and Alzheimer's disease biomarkersRoos J Jutten, Jessa E Burling, Elliott Slade, et al.
Medrxiv : the Preprint Server for Health Sciences|July 17, 2025
Relationship between BrainAge Polygenetic Risk Score and plasma biomarkers in the A4/LEARN studiesJorge Garcia Condado, Mabel Seto, Madison Cuppels, et al.
Pageof 4

Showing results (11-20 of 38) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|May 8, 2021
CLEP: a hybrid data- and knowledge-driven framework for generating patient representationsVinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, et al.
The EPMA Journal|September 5, 2022
Pre-pregnancy check-up of maternal vascular status and associated phenotype is crucial for the health of mother and offspringMaria Evsevieva, Oksana Sergeeva, Alena Mazurakova, et al.
Iscience|May 9, 2025
On the fidelity versus privacy and utility trade-off of synthetic patient dataTim Adams, Colin Birkenbihl, Karen Otte, et al.
Nature Communications|February 10, 2023
Forecasting individual progression trajectories in Alzheimer's diseaseEtienne Maheux, Igor Koval, Juliette Ortholand, et al.
Neuroimage|November 27, 2025
Corrigendum to "Aging as an active player in Alzheimer's disease classification: Insights from feature selection in BrainAge models" [NeuroImage (2025): 121548]Jorge Garcia Condado, Ines Verdugo Recuero, Iñigo Tellaetxe Elorriaga, et al.
Bioinformatics (Oxford, England)|January 5, 2022
STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphsHelena Balabin, Charles Tapley Hoyt, Colin Birkenbihl, et al.
The EPMA Journal|June 6, 2024
Digital biomarkers: 3PM approach revolutionizing chronic disease management - EPMA 2024 positionIvica Smokovski, Nanette Steinle, Andrew Behnke, et al.
Bioinformatics (Oxford, England)|June 2, 2022
Integrative data semantics through a model-enabled data stewardshipPhilipp Wegner, Sebastian Schaaf, Mischa Uebachs, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|August 21, 2025
The Mobile Toolbox for remote, self-administered cognitive assessment in older adults: associations with in-clinic cognitive testing and Alzheimer's disease biomarkersRoos J Jutten, Jessa E Burling, Elliott Slade, et al.
Medrxiv : the Preprint Server for Health Sciences|July 17, 2025
Relationship between BrainAge Polygenetic Risk Score and plasma biomarkers in the A4/LEARN studiesJorge Garcia Condado, Mabel Seto, Madison Cuppels, et al.
Pageof 4