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The human metabolome and machine learning improves predictions of the post-mortem interval.

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Title: The human metabolome and machine learning improves predictions of the post-mortem interval.
Authors: Magnusson R; Department of Biomedical Engineering, Linköping University, Linköping, Sweden. rasmus.magnusson@liu.se., Söderberg C; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden., Ward LJ; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden., Arpe J; Department of Biomedical Engineering, Linköping University, Linköping, Sweden., Kugelberg FC; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden., Elmsjö A; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden., Green H; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Science for Life Laboratory, Linköping University, Linköping, Sweden., Nyman E; Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
Source: Nature communications [Nat Commun] 2026 Feb 11; Vol. 17 (1), pp. 1504. Date of Electronic Publication: 2026 Feb 11.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Magnusson+R%22">Magnusson R</searchLink>; Department of Biomedical Engineering, Linköping University, Linköping, Sweden. rasmus.magnusson@liu.se.<br /><searchLink fieldCode="AU" term="%22Söderberg+C%22">Söderberg C</searchLink>; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Ward+LJ%22">Ward LJ</searchLink>; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Arpe+J%22">Arpe J</searchLink>; Department of Biomedical Engineering, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Kugelberg+FC%22">Kugelberg FC</searchLink>; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Elmsjö+A%22">Elmsjö A</searchLink>; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Green+H%22">Green H</searchLink>; Department of Forensic Genetics and Forensic Toxicology, National Board of Forensic Medicine, Linköping, Sweden.; Department of Biomedical and Clinical Sciences, Science for Life Laboratory, Linköping University, Linköping, Sweden.<br /><searchLink fieldCode="AU" term="%22Nyman+E%22">Nyman E</searchLink>; Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
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