{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T07:14:46Z","timestamp":1774682086022,"version":"3.50.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T00:00:00Z","timestamp":1774656000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T00:00:00Z","timestamp":1774656000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["GeroScience"],"DOI":"10.1007\/s11357-026-02161-7","type":"journal-article","created":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T06:14:19Z","timestamp":1774678459000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A chronological age prediction model using clinical biochemistry and hematological data identifies features of biological age in healthy Labrador retrievers"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7278-6925","authenticated-orcid":false,"given":"Carina","family":"Salt","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phillip","family":"Watson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Allaway","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,28]]},"reference":[{"key":"2161_CR1","doi-asserted-by":"publisher","DOI":"10.18632\/ONCOTARGET.27882","author":"MV Blagosklonny","year":"2021","unstructured":"Blagosklonny MV. The goal of geroscience is life extension. Oncotarget. 2021. https:\/\/doi.org\/10.18632\/ONCOTARGET.27882.","journal-title":"Oncotarget"},{"key":"2161_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2023.08.003","author":"M Moqri","year":"2023","unstructured":"Moqri M, Herzog C, Poganik JR, et al. Biomarkers of aging for the identification and evaluation of longevity interventions. Cell. 2023. https:\/\/doi.org\/10.1016\/j.cell.2023.08.003.","journal-title":"Cell"},{"key":"2161_CR3","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-39786-7","author":"Y Rolland","year":"2023","unstructured":"Rolland Y, Sierra F, Ferrucci L, et al. Challenges in developing geroscience trials. Nat Commun. 2023. https:\/\/doi.org\/10.1038\/s41467-023-39786-7.","journal-title":"Nat Commun"},{"key":"2161_CR4","doi-asserted-by":"publisher","DOI":"10.1186\/s13148-019-0656-7","author":"PD Fransquet","year":"2019","unstructured":"Fransquet PD, Wrigglesworth J, Woods RL, Ernst ME, Ryan J. The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis. Clin Epigenetics. 2019. https:\/\/doi.org\/10.1186\/s13148-019-0656-7.","journal-title":"Clin Epigenetics"},{"key":"2161_CR5","doi-asserted-by":"publisher","unstructured":"Waziry R, Ryan CP, Corcoran DL, et al. Effect of long-term caloric restriction on DNA methylation measures of biological aging in healthy adults from the CALERIE trial. Nat Aging. 2023;3(3). https:\/\/doi.org\/10.1038\/s43587-022-00357-y.","DOI":"10.1038\/s43587-022-00357-y"},{"key":"2161_CR6","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.73420","author":"DW Belsky","year":"2022","unstructured":"Belsky DW, Caspi A, Corcoran DL, et al. DunedinPACE, a DNA methylation biomarker of the pace of aging. Elife. 2022. https:\/\/doi.org\/10.7554\/eLife.73420.","journal-title":"Elife"},{"key":"2161_CR7","doi-asserted-by":"publisher","unstructured":"Belsky DW, Caspi A, Houts R, et al. Quantification of biological aging in young adults. Proc Natl Acad Sci USA. 2015;112(30). https:\/\/doi.org\/10.1073\/pnas.1506264112.","DOI":"10.1073\/pnas.1506264112"},{"key":"2161_CR8","doi-asserted-by":"publisher","DOI":"10.1111\/vco.12839","author":"SM Schwartz","year":"2022","unstructured":"Schwartz SM, Urfer SR, White M, Megquier K, Shrager S, Ruple A. Lifetime prevalence of malignant and benign tumours in companion dogs: cross-sectional analysis of Dog Aging Project baseline survey. Vet Comp Oncol. 2022. https:\/\/doi.org\/10.1111\/vco.12839.","journal-title":"Vet Comp Oncol"},{"key":"2161_CR9","doi-asserted-by":"publisher","DOI":"10.3389\/fvets.2022.853743","author":"BA McKenzie","year":"2022","unstructured":"McKenzie BA, Chen FL, Gruen ME, Olby NJ. Canine geriatric syndrome: a framework for advancing research in veterinary geroscience. Front Vet Sci. 2022. https:\/\/doi.org\/10.3389\/fvets.2022.853743.","journal-title":"Front Vet Sci"},{"key":"2161_CR10","doi-asserted-by":"publisher","unstructured":"Herzig S, Zollinger A, Texari L, et al. A biological age based on common clinical markers predicts health trajectory and mortality risk in dogs. Geroscience. 2024(1). https:\/\/doi.org\/10.1007\/s11357-024-01352-4.","DOI":"10.1007\/s11357-024-01352-4"},{"key":"2161_CR11","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/glac220","author":"C Salt","year":"2023","unstructured":"Salt C, Saito EK, O\u2019Flynn C, Allaway D. Stratification of companion animal life stages from electronic medical record diagnosis data. J Gerontol A Biol Sci Med Sci. 2023. https:\/\/doi.org\/10.1093\/gerona\/glac220.","journal-title":"J Gerontol A Biol Sci Med Sci"},{"key":"2161_CR12","doi-asserted-by":"publisher","unstructured":"Chen T, Guestrin C. XGBoost: a scalable tree boosting system. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Vol 13\u201317-August-2016; 2016. https:\/\/doi.org\/10.1145\/2939672.2939785.","DOI":"10.1145\/2939672.2939785"},{"key":"2161_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(95)91746-2","author":"SS Cross","year":"1995","unstructured":"Cross SS, Harrison RF, Kennedy RL. Introduction to neural networks. Lancet. 1995. https:\/\/doi.org\/10.1016\/S0140-6736(95)91746-2.","journal-title":"Lancet"},{"key":"2161_CR14","volume-title":"The elements of statistical learning The Elements of Statistical LearningData Mining, Inference, and Prediction, Second Edition.","author":"T Hastie","year":"2009","unstructured":"Hastie T, Tibshirani R, Friedman J. The elements of statistical learning The Elements of Statistical LearningData Mining, Inference, and Prediction, Second Edition. 2009."},{"key":"2161_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.otohns.2010.05.007","author":"JT Rich","year":"2010","unstructured":"Rich JT, Neely JG, Paniello RC, Voelker CCJ, Nussenbaum B, Wang EW. A practical guide to understanding Kaplan-Meier curves. Otolaryngol Head Neck Surg. 2010. https:\/\/doi.org\/10.1016\/j.otohns.2010.05.007.","journal-title":"Otolaryngol Head Neck Surg"},{"key":"2161_CR16","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Stat Methodol. 1995. https:\/\/doi.org\/10.1111\/j.2517-6161.1995.tb02031.x.","journal-title":"J R Stat Soc Ser B Stat Methodol"},{"key":"2161_CR17","unstructured":"R Core Team. R: a language and environment for statistical computing. Published online 2019. https:\/\/www.r-project.org\/. Accessed 14\/04\/2025"},{"key":"2161_CR18","unstructured":"Dowle M, Srinivasan A. data.table: extension of \u201cdata.frame.\u201d Published online 2022.\u00a0https:\/\/cran.r-project.org\/package=data.table.\u00a0Accessed 14\/04\/2025."},{"key":"2161_CR19","unstructured":"Bischl B, Lang M, Kotthoff L, Schiffner J, Richter J, Studerus E, Casalicchio G, Jones ZM. Mlr:machine learning in R. J Mach Learn Res. 2016;17:170:1\u2013170:5."},{"key":"2161_CR20","unstructured":"Chen T, He T, Benesty M, Khotilovich V, Tang Y, Cho H, Chen K, Mitchell R, Cano I, Zhou T, Li M, Xie J, Lin M, Geng Y, Li Y, Yuan J, Cortes D. xgboost: Extreme Gradient Boosting. R package version 2018;0.71.2.\u00a0https:\/\/github.com\/dmlc\/xgboost. Accessed 23 Feb 2026."},{"key":"2161_CR21","unstructured":"Therneau T. A Package for Survival Analysis in R. R package version 2. 2026;3\u20138.\u00a0https:\/\/CRAN.R-project.org\/package=survival. Accessed 23 Feb. 2026."},{"key":"2161_CR22","doi-asserted-by":"crossref","unstructured":"Kassambara A. survminer: Drawing Survival Curves using 'ggplot2'. R package 2016.\u00a0version 0.5.1. https:\/\/cran.r-project.org\/web\/packages\/survminer. Accessed 23 Feb 2026","DOI":"10.32614\/CRAN.package.survminer"},{"key":"2161_CR23","doi-asserted-by":"publisher","unstructured":"Brilleman SL, Wolfe R, Moreno-Betancur M, Crowther MJ. Simulating survival data using the simsurv R package. J Stat Softw. 2021;97(3). https:\/\/doi.org\/10.18637\/jss.v097.i03.","DOI":"10.18637\/jss.v097.i03"},{"key":"2161_CR24","doi-asserted-by":"publisher","unstructured":"Jackson CH. flexsurv: A Platform for Parametric Survival Modeling in R. J Stat Softw. 2016;70:i08. https:\/\/doi.org\/10.18637\/jss.v070.i08","DOI":"10.18637\/jss.v070.i08"},{"key":"2161_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-98141-3","volume-title":"Ggplot2: elegant graphics for data analysis","author":"H Wickham","year":"2016","unstructured":"Wickham H. Ggplot2: elegant graphics for data analysis. Second Edition. Springer; 2016. https:\/\/doi.org\/10.1007\/978-0-387-98141-3.","edition":"Second Edition"},{"key":"2161_CR26","doi-asserted-by":"publisher","DOI":"10.1213\/ANE.0000000000002864","author":"P Schober","year":"2018","unstructured":"Schober P, Schwarte LA. Correlation coefficients: appropriate use and interpretation. Anesth Analg. 2018. https:\/\/doi.org\/10.1213\/ANE.0000000000002864.","journal-title":"Anesth Analg"},{"issue":"11","key":"2161_CR27","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1038\/s43587-024-00692-2","volume":"4","author":"X Shen","year":"2024","unstructured":"Shen X, Wang C, Zhou X, et al. Nonlinear dynamics of multi-omics profiles during human aging. Nat Aging. 2024;4(11):1619\u201334. https:\/\/doi.org\/10.1038\/s43587-024-00692-2.","journal-title":"Nat Aging"},{"key":"2161_CR28","doi-asserted-by":"publisher","DOI":"10.1111\/jvim.15367","author":"C Salt","year":"2019","unstructured":"Salt C, Morris PJ, Wilson D, Lund EM, German AJ. Association between life span and body condition in neutered client-owned dogs. J Vet Intern Med. 2019. https:\/\/doi.org\/10.1111\/jvim.15367.","journal-title":"J Vet Intern Med"}],"container-title":["GeroScience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-026-02161-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11357-026-02161-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-026-02161-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T06:14:22Z","timestamp":1774678462000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11357-026-02161-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,28]]},"references-count":28,"alternative-id":["2161"],"URL":"https:\/\/doi.org\/10.1007\/s11357-026-02161-7","relation":{},"ISSN":["2509-2723"],"issn-type":[{"value":"2509-2723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,28]]},"assertion":[{"value":"11 August 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"CS, PW and DA are employees of Waltham Petcare Science Institute, which is owned by Mars Inc.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}