Computational Science for Health and Environment
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- 2025
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Mark
Bayesian and frequentist analyses of two-state single-molecule diffusion trajectories
(
- Contribution to journal › Article
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Mark
Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
(
- Contribution to journal › Article
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Mark
Predicting adverse cardiac events at the emergency department : A deep learning approach
2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Immune Response in Triple-Negative Breast Cancer - Machine Learning-based Insights from Histology and -Omics
2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
2025) In Breast Cancer Research(
- Working paper/Preprint › Preprint in preprint archive
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Mark
Causal, predictive or observational? Different understandings of key event relationships for adverse outcome pathways and their implications on practice
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- Contribution to journal › Article
- 2024
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Mark
T-cell commitment inheritance—an agent-based multi-scale model
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- Contribution to journal › Article
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Mark
The prevalence of clinically relevant delayed intracranial hemorrhage in head trauma patients treated with oral anticoagulants is very low: a retrospective cohort register study
(
- Contribution to journal › Article
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Mark
Hybrid elicitation and quantile-parametrized likelihood
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- Contribution to journal › Article
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Mark
Elucidating fungal decomposition of organic matter at sub-micrometer spatial scales using optical photothermal infrared (O-PTIR) microspectroscopy
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- Contribution to journal › Article