Author

Albert Elmsjö

Linköping UniversityORCID 0000-0002-8053-3100Unclaimed 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

Carl SöderbergiD· 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

Carl SöderbergORCID

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2 papers

Recent·Most cited

Detecting and Subtyping Ketoacidosis from Metabolomic Patterns in Forensic Casework

Ralph E. C. Monte, Rasmus Magnusson, Carl Söderberg, Henrik Gréen, Albert Elmsjö, Elin Nyman

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

Scientific Reports · Apr 4, 2026Peer-reviewedSystems Biology

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

Rasmus Magnusson, Carl Söderberg, Liam J. Ward, Jenny Arpe, Fredrik C. Kugelberg, Albert Elmsjö, Henrik Gréen, 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.

Nature Communications · Feb 11, 2026Peer-reviewedSystems Biology