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Machine learning predicts lifespan and suggests underlying causes of death in aging C. elegans.

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Title: Machine learning predicts lifespan and suggests underlying causes of death in aging C. elegans.
Authors: Kern CC; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK.; LinkGevity, Babraham Research Campus, Cambridge, UK., Manescu P; Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK., Cuffaro M; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK., Au C; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK., Zhang A; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK., Wang H; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK., Gilliat AF; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK., van Schelt S; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK., Ezcurra M; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK. m.ezcurra@kent.ac.uk.; School of Natural Sciences, University of Kent, Canterbury, UK. m.ezcurra@kent.ac.uk., Gems D; Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London, UK.
Source: Communications biology [Commun Biol] 2025 Nov 21; Vol. 8 (1), pp. 1630. Date of Electronic Publication: 2025 Nov 21.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group UK Country of Publication: England NLM ID: 101719179 Publication Model: Electronic Cited Medium: Internet ISSN: 2399-3642 (Electronic) Linking ISSN: 23993642 NLM ISO Abbreviation: Commun Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="JN" term="%22101719179%22">Communications biology</searchLink> [Commun Biol] 2025 Nov 21; Vol. 8 (1), pp. 1630. <i>Date of Electronic Publication: </i>2025 Nov 21.
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              Text: 2025 Nov 21
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