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James King

Bethesda
As seen in: Color Research & Application, Nature, The Daily Mirror, The Independent (UK), Wiley, Wiley Online Library, BMJ Oncology, MDPI, PNAS, Taylor & Francis Online and
Branch Chief and Information Architect at NIH Library, active in SLA, husband of 25+ years, and proud dad of a little girl.
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Articles

Effect of weight loss interventions on liver-related health in children and adolescents with obesity: a systematic review and meta-analyses Original

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By Duane Beraud, Gabriel Torbahn, Julia Lischka, Bruno Pereira, James King, Armand Abergel, Daniel Weghuber, David Thivel, Alexis Couret, Valérie Julian V, Gaël Ennequin
| Nature Verified
Abstract Metabolically-dysfunction-associated steatotic liver disease is today rising in prevalence among children and adolescents with obesity. The present Systematic Review and Meta-analysis explores the effect of weight loss interventions, depending on their modality (lifestyle, bariatric surgery or anti-obesity medication) on circulating, imagery-related and histology-related liver parameters in children and adolescents with obesity (aged 5–18 years).
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Beaks of the Permo-Triassic: a morpho-functional analysis at the dawn of a novel structure in tetrapod evolution

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By James King, Suresh Singh, Damiano Landi
| Wiley Online Library Verified
Supporting Information Filename Description pala70075-sup-0001-Figures.pdfPDF document, 2.3 MB Figure S1. Specimens from the Natural History Museum (London, UK) used in this study. Figure S2. Mandibular measurements used in generating the morphospace. Figure S3. Ternary lower jaw morphospace based on the first three principal components for Permo-Triassic beaked clades. pala70075-sup-0002-Tables.xlsxExcel 2007 spreadsheet , 31.9 KB Table S1. fPCA loadings. Table S2.
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Generalizable multilingual medical text anonymization using generative instruction tuning

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By G. Thomas Hudson, Matthew Watson, Benedict A. H. Jones, Sean Farrell, James King, Noura Al Moubayed, Chenghao Xiao
| Nature Verified
Abstract Medical research depends on access to high quality data that protects patient privacy. Free text in health records contains valuable clinical detail, yet it often includes sensitive personal information that must be removed before use. Current approaches rely on manually created training data and focus mainly on narrow domains. They are difficult to scale to new medical fields and languages.
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