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Found 4 papers, 2 papers with code
Towards early diagnosis of Alzheimer's disease: Advances in immune-related blood biomarkers and computational modeling approaches
Here, we give a background on advances in research on brain-immune system cross-talk in Alzheimer's disease and review recent machine learning and mechanistic modeling approaches which leverage modern omics technologies for blood-based immune system-related biomarker discovery.
Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis results
In this study, we use a state-of-the-art synthetic data generation method and perform in-depth quality analyses of the generated data for a specific use case in the field of nutrition.
Deep learning for clustering of multivariate clinical patient trajectories with missing values
Findings The problem of clustering multivariate short time series with many missing values is generally not well addressed in the literature.
Integrating Prior Knowledge Into Prognostic Biomarker Discovery based on Network Structure
We extendd our approach further by integrating information on candidate disease genes and targets of disease associated Transcript Factors (TFs).
