Author

Carl Söderberg

Swedish National Board of Forensic MedicineORCID 0000-0001-7074-6578Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Assay:metabolomics· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Albert ElmsjöiD· 2 shared Elin NymaniD· 2 shared Henrik GréeniD· 2 shared Rasmus MagnussoniD· 2 shared Fredrik C. KugelbergiD· 1 shared Jenny ArpeiD· 1 shared Liam J. WardiD· 1 shared Ralph E. C. Monte· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 25 mutual co-author links

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2 shared papersSystems Biology

Albert ElmsjöORCID

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2 papers

Recent·Most cited

Systems BiologyScientific ReportsPeer-reviewedApr 4, 2026

Detecting and Subtyping Ketoacidosis from Metabolomic Patterns in Forensic Casework

Ralph E. C. Monte, Rasmus Magnusson, Carl Söderberg…·Elin Nyman

This study uses machine learning on metabolomic data to detect and subtype ketoacidosis in forensic cases with high accuracy.

1 citation

humanmetabolomics

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Systems BiologyNature CommunicationsPeer-reviewedFeb 11, 2026

The Human Metabolome and Machine Learning Improves Predictions of the Post-Mortem Interval

Rasmus Magnusson, Carl Söderberg, Liam J. Ward…·Elin Nyman

This study uses metabolomic data and machine learning to predict post-mortem interval with high accuracy, outperforming other models and showing the feasibility of using small datasets.

16 citationstop 1%

humanmetabolomics

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