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Machine Learning|May 10, 2023
Correlated product of experts for sparse Gaussian process regressionManuel Schürch, Dario Azzimonti, Alessio Benavoli, et al.
PLOS Digital Health|March 23, 2026
Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypesXiaochen Zheng, Ahmed Allam, Manuel Schürch, et al.
NPJ Digital Medicine|November 18, 2025
Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome predictionBowen Fan, Manuel Schürch, Yuan Tian, et al.
NPJ Digital Medicine|September 1, 2025
Deep hierarchical subtyping of multi-organ systemic sclerosis trajectories - a EUSTAR studyCécile Trottet, Manuel Schürch, Ahmed Allam, et al.
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