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Biological Cybernetics
|
May 26, 2016
Hierarchical Bayesian models of cognitive development
Thomas Glassen, Verena Nitsch
Scientific Reports
|
April 11, 2026
Using causal machine learning and real world data to improve dose response decision making for secukinumab in psoriatic arthritis
Uta Kiltz, Thomas Glassen, Jan Brandt-Juergens, et al.
Plos One
|
March 5, 2019
Using the Dirichlet process to form clusters of people's concerns in the context of future party identification
Patrick Meyer, Fenja M Schophaus, Thomas Glassen, et al.
Plos One
|
March 22, 2019
Correction: Using the Dirichlet process to form clusters of people's concerns in the context of future party identification
Patrick Meyer, Fenja M Schophaus, Thomas Glassen, et al.
The Journal of Rheumatology
|
October 15, 2025
Predicting treatment outcomes in patients with psoriatic arthritis or axial spondyloarthritis: An artificial intelligence-driven approach
Asmir Vodenčarević, Jan Brandt-Jürgens, Sara Bär, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Biological Cybernetics
|
May 26, 2016
Hierarchical Bayesian models of cognitive development
Thomas Glassen, Verena Nitsch
Scientific Reports
|
April 11, 2026
Using causal machine learning and real world data to improve dose response decision making for secukinumab in psoriatic arthritis
Uta Kiltz, Thomas Glassen, Jan Brandt-Juergens, et al.
Plos One
|
March 5, 2019
Using the Dirichlet process to form clusters of people's concerns in the context of future party identification
Patrick Meyer, Fenja M Schophaus, Thomas Glassen, et al.
Plos One
|
March 22, 2019
Correction: Using the Dirichlet process to form clusters of people's concerns in the context of future party identification
Patrick Meyer, Fenja M Schophaus, Thomas Glassen, et al.
The Journal of Rheumatology
|
October 15, 2025
Predicting treatment outcomes in patients with psoriatic arthritis or axial spondyloarthritis: An artificial intelligence-driven approach
Asmir Vodenčarević, Jan Brandt-Jürgens, Sara Bär, et al.
Page
of 1