{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T21:03:42Z","timestamp":1790802222209,"version":"4.1.0"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002850","name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["1231103"],"award-info":[{"award-number":["1231103"]}],"id":[{"id":"10.13039\/501100002850","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002850","name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["11230186"],"award-info":[{"award-number":["11230186"]}],"id":[{"id":"10.13039\/501100002850","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002850","name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["1241661"],"award-info":[{"award-number":["1241661"]}],"id":[{"id":"10.13039\/501100002850","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020884","name":"ANID","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100020884","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.cmpb.2026.109643","type":"journal-article","created":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T15:42:31Z","timestamp":1788882151000},"page":"109643","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["CellSize-Clust: An Unsupervised Multi-Algorithm Method for Classifying Skeletal Muscle Cells by Feret Diameter in Mice Soleus and Gastrocnemius"],"prefix":"10.1016","volume":"287","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1383-7961","authenticated-orcid":false,"given":"Paola","family":"Llanos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Javier","family":"Russell-Guzm\u00e1n","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mat\u00edas","family":"Monsalves-\u00c1lvarez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2340-3288","authenticated-orcid":false,"given":"Mat\u00edas","family":"Aravena","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mart\u00edn","family":"Maturana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0582-954X","authenticated-orcid":false,"given":"Rodrigo","family":"Olivares","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pablo","family":"Olivares","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 Francisco","family":"L\u00f3pez-Gil","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9311-6576","authenticated-orcid":false,"given":"Rodrigo","family":"Y\u00e1\u00f1ez-Sep\u00falveda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2286-2918","authenticated-orcid":false,"given":"Sonja","family":"Buvinic","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1 16","key":"10.1016\/j.cmpb.2026.109643_bib0001","first-page":"1","article-title":"Human skeletal muscle fiber heterogeneity beyond myosin heavy chains","volume":"16","author":"Moreno-Justicia","year":"2025","journal-title":"Nat. Commun."},{"key":"10.1016\/j.cmpb.2026.109643_bib0002","doi-asserted-by":"crossref","first-page":"1693","DOI":"10.1152\/physrev.00017.2022","article-title":"The molecular athlete: exercise physiology from mechanisms to medals","volume":"103","author":"Furrer","year":"2023","journal-title":"Physiol. Rev."},{"key":"10.1016\/j.cmpb.2026.109643_bib0003","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1146\/annurev-physiol-020518-114310","article-title":"Maintenance of skeletal muscle mitochondria in health, exercise, and aging","volume":"81","author":"Hood","year":"2019","journal-title":"Annu. Rev. Physiol."},{"issue":"10 28","key":"10.1016\/j.cmpb.2026.109643_bib0004","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1038\/s41422-018-0078-7","article-title":"Skeletal muscle mitochondrial remodeling in exercise and diseases","volume":"28","author":"Gan","year":"2018","journal-title":"Cell Res."},{"key":"10.1016\/j.cmpb.2026.109643_bib0005","doi-asserted-by":"crossref","first-page":"2183","DOI":"10.3390\/cells12172183","article-title":"Mitochondrial properties in skeletal muscle Fiber","volume":"12","author":"Dong","year":"2023","journal-title":"Cells"},{"key":"10.1016\/j.cmpb.2026.109643_bib0006","doi-asserted-by":"crossref","first-page":"C615","DOI":"10.1152\/ajpcell.00540.2019","article-title":"Comparative profiling of skeletal muscle models reveals heterogeneity of transcriptome and metabolism","volume":"318","author":"Abdelmoez","year":"2020","journal-title":"Am. J. Physiol. Cell Physiol."},{"key":"10.1016\/j.cmpb.2026.109643_bib0007","first-page":"493","article-title":"History and development of staining methods for skeletal muscle fiber types","volume":"37","author":"Sawano","year":"2022","journal-title":"Histol. Histopathol."},{"key":"10.1016\/j.cmpb.2026.109643_bib0008","doi-asserted-by":"crossref","DOI":"10.21769\/BioProtoc.3400","article-title":"Immunohistochemical identification of muscle fiber types in mice tibialis anterior sections","volume":"9","author":"Rao","year":"2019","journal-title":"Bio Protoc."},{"key":"10.1016\/j.cmpb.2026.109643_bib0009","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1007\/s00401-010-0643-8","article-title":"Novel myosin heavy chain immunohistochemical double staining developed for the routine diagnostic separation of I, IIA and IIX fibers","volume":"119","author":"Raheem","year":"2010","journal-title":"Acta Neuropathol."},{"key":"10.1016\/j.cmpb.2026.109643_bib0010","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.cbpa.2007.05.028","article-title":"Identification of myosin heavy chain isoforms in skeletal muscle of four Southern African wild ruminants","volume":"148","author":"Kohn","year":"2007","journal-title":"Comp. Biochem. Physiol. - Mol. Integr. Physiol."},{"issue":"1 11","key":"10.1016\/j.cmpb.2026.109643_bib0011","first-page":"1","article-title":"Automatic and unbiased segmentation and quantification of myofibers in skeletal muscle","volume":"11","author":"Waisman","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cmpb.2026.109643_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2022.104367","article-title":"Comprehensive morphometric assessment of deltoid muscle development in children: a cross-sectional study","volume":"86","author":"Evangelista","year":"2022","journal-title":"EBioMedicine"},{"key":"10.1016\/j.cmpb.2026.109643_bib0013","doi-asserted-by":"crossref","first-page":"561","DOI":"10.3390\/diagnostics12030561","article-title":"A user-friendly approach for routine histopathological and morphometric analysis of skeletal muscle using CellProfiler software","volume":"12","author":"Laghi","year":"2022","journal-title":"Diagnostics"},{"key":"10.1016\/j.cmpb.2026.109643_bib0014","article-title":"Comparison of shifts in skeletal muscle plasticity parameters in horses in three different muscles, in answer to 8 weeks of harness training","volume":"8","author":"de Mee\u00fbs d\u2019Argenteuil","year":"2021","journal-title":"Front. Vet. Sci."},{"key":"10.1016\/j.cmpb.2026.109643_bib0015","doi-asserted-by":"crossref","DOI":"10.1242\/dmm.042903","article-title":"Improving translatability of preclinical studies for neuromuscular disorders: lessons from the TREAT-NMD Advisory Committee for Therapeutics (TACT)","volume":"13","author":"Willmann","year":"2020","journal-title":"Dis. Model. Mech."},{"key":"10.1016\/j.cmpb.2026.109643_bib0016","article-title":"Quantitative determination of muscle fiber diameter (minimal Feret\u2019s diameter) and percentage of centralized nuclei","author":"Judith Dubach-Powell","year":"2008","journal-title":"SOP (ID) Number DMD_M.1.2.001"},{"key":"10.1016\/j.cmpb.2026.109643_bib0017","doi-asserted-by":"crossref","DOI":"10.1242\/bio.060548","article-title":"PatternJ: an ImageJ toolset for the automated and quantitative analysis of regular spatial patterns found in sarcomeres, axons, somites, and more","volume":"13","author":"Baheux Blin","year":"2024","journal-title":"Biol. Open."},{"key":"10.1016\/j.cmpb.2026.109643_bib0018","unstructured":"Object Research Systems (ORS) Inc., Dragonfly, Version 2022.2, Montr\u00e9al, Qu\u00e9bec, Canada, 2022 (distributed since 2024 As Dragonfly 3D World, Comet Technologies Canada Inc.). https:\/\/dragonfly.comet.tech\/[software citation; not indexed in PubMed]."},{"key":"10.1016\/j.cmpb.2026.109643_bib0019","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1152\/japplphysiol.00491.2021","article-title":"Automated cross-sectional analysis of trained, severely atrophied, and recovering rat skeletal muscles using MyoVision 2.0","volume":"132","author":"Viggars","year":"2022","journal-title":"J. Appl. Physiol."},{"key":"10.1016\/j.cmpb.2026.109643_bib0020","doi-asserted-by":"crossref","DOI":"10.1038\/s41540-025-00507-z","article-title":"Exploring cell-to-cell variability and functional insights through differentially variable gene analysis","volume":"11","author":"Gatlin","year":"2025","journal-title":"NPJ. Syst. Biol. Appl."},{"key":"10.1016\/j.cmpb.2026.109643_bib0021","doi-asserted-by":"crossref","DOI":"10.1111\/jsr.14349","article-title":"A comparative analysis of unsupervised machine-learning methods in PSG-related phenotyping","volume":"34","author":"Ghorvei","year":"2025","journal-title":"J. Sleep. Res."},{"key":"10.1016\/j.cmpb.2026.109643_bib0022","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1089\/ten.tea.2022.0128","article-title":"Machine learning in tissue engineering","volume":"29","author":"Guo","year":"2023","journal-title":"Tissue Eng A"},{"key":"10.1016\/j.cmpb.2026.109643_sbref0023","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41746-023-00811-0","article-title":"Self-supervised learning for medical image classification: a systematic review and implementation guidelines","volume":"6","author":"Huang","year":"2023","journal-title":"NPJ. Digit. Med."},{"key":"10.1016\/j.cmpb.2026.109643_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2023.104401","article-title":"A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): an application to TBI phenotyping","volume":"143","author":"Ghaderi","year":"2023","journal-title":"J. Biomed. Inf."},{"key":"10.1016\/j.cmpb.2026.109643_bib0025","doi-asserted-by":"crossref","first-page":"2641","DOI":"10.1093\/jamia\/ocab203","article-title":"Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups","volume":"28","author":"Huang","year":"2021","journal-title":"J. Am. Med. Inform. Assoc."},{"key":"10.1016\/j.cmpb.2026.109643_bib0026","article-title":"Do\u2019s and don\u2019ts in the preparation of muscle cryosections for histological analysis","volume":"2015","author":"Kumar","year":"2015","journal-title":"J. Vis. Exp."},{"key":"10.1016\/j.cmpb.2026.109643_bib0027","doi-asserted-by":"crossref","first-page":"7925","DOI":"10.3390\/s23187925","article-title":"Comparative analysis of the clustering quality in self-organizing maps for Human posture classification","volume":"23","author":"Ekemeyong Awong","year":"2023","journal-title":"Sensors"},{"key":"10.1016\/j.cmpb.2026.109643_bib0028","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1016\/j.nmd.2004.06.008","article-title":"Histological parameters for the quantitative assessment of muscular dystrophy in the mdx-mouse","volume":"14","author":"Briguet","year":"2004","journal-title":"Neuromuscul. Disord."},{"key":"10.1016\/j.cmpb.2026.109643_bib0029","doi-asserted-by":"crossref","first-page":"221","DOI":"10.2174\/1874609811104030221","article-title":"Age-related changes in adult muscle morphology","volume":"4","author":"Kostek","year":"2012","journal-title":"Curr. Aging Sci."},{"key":"10.1016\/j.cmpb.2026.109643_bib0030","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1016\/j.jcyt.2020.09.006","article-title":"Characterization of heterogeneous primary human cartilage-derived cell population using non-invasive live-cell phase-contrast time-lapse imaging","volume":"23","author":"Mantripragada","year":"2021","journal-title":"Cytotherapy"},{"key":"10.1016\/j.cmpb.2026.109643_bib0031","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13395-018-0178-6","article-title":"Automated muscle histopathology analysis using CellProfiler","volume":"8","author":"Lau","year":"2018","journal-title":"Skelet. Muscle"},{"key":"10.1016\/j.cmpb.2026.109643_sbref0032","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-025-88482-7","article-title":"Evaluation of 3D seed structure and cellular traits in-situ using X-ray microscopy","volume":"15","author":"Griffiths","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.cmpb.2026.109643_bib0033","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: a graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987","journal-title":"J. Comput. Appl. Math."},{"key":"10.1016\/j.cmpb.2026.109643_bib0034","first-page":"1","article-title":"A dendrite method for cluster analysis","volume":"3","author":"Cali\u0144ski","year":"1974","journal-title":"Commun. Stat. Theor. Methods"},{"key":"10.1016\/j.cmpb.2026.109643_bib0035","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1109\/TPAMI.1979.4766909","article-title":"A cluster separation measure","volume":"PAMI-1","author":"Davies","year":"1979","journal-title":"IEEE Trans Pattern Anal Mach Intell PAMI-1"},{"issue":"10","key":"10.1016\/j.cmpb.2026.109643_bib0036","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1016\/0278-2391(90)90290-I","article-title":"An animal model for human masseter muscle: histochemical characterization of mouse, rat, rabbit, cat, dog, pig, and cow masseter muscle","volume":"48","author":"Tuxen","year":"1990","journal-title":"J. Oral Maxillofac. Surg."},{"key":"10.1016\/j.cmpb.2026.109643_bib0037","doi-asserted-by":"crossref","first-page":"190","DOI":"10.3389\/fnagi.2015.00190","article-title":"A muscle stem cell for every muscle: variability of satellite cell biology among different muscle groups","volume":"7","author":"Randolph","year":"2015","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.cmpb.2026.109643_bib0038","doi-asserted-by":"crossref","first-page":"1447","DOI":"10.1152\/physrev.00031.2010","article-title":"Fiber types in Mammalian skeletal muscles","volume":"91","author":"Schiaffino","year":"2011","journal-title":"Physiol. Rev."},{"key":"10.1016\/j.cmpb.2026.109643_bib0039","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1152\/japplphysiol.00337.2023","article-title":"Fiber-type traps: revisiting common misconceptions about skeletal muscle fiber types with application to motor control, biomechanics, physiology, and biology","volume":"136","author":"Blemker","year":"2024","journal-title":"J. Appl. Physiol."},{"key":"10.1016\/j.cmpb.2026.109643_bib0040","doi-asserted-by":"crossref","first-page":"99","DOI":"10.3109\/00016488209128894","article-title":"A histochemical characterization of muscle Fiber types in the middle ear muscles of the cat","volume":"94","author":"Lyon","year":"1982","journal-title":"Acta Otolaryngol."},{"issue":"4","key":"10.1016\/j.cmpb.2026.109643_bib0041","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0035273","article-title":"Rapid determination of myosin heavy chain expression in rat, mouse, and human skeletal muscle using multicolor immunofluorescence analysis","volume":"7","author":"Bloemberg","year":"2012","journal-title":"PLoS. One"},{"key":"10.1016\/j.cmpb.2026.109643_bib0042","doi-asserted-by":"crossref","first-page":"2057","DOI":"10.1038\/s41591-023-02482-6","article-title":"Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary","volume":"29","author":"Moon","year":"2023","journal-title":"Nat. Med."},{"key":"10.1016\/j.cmpb.2026.109643_bib0043","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1097\/WCO.0000000000000838","article-title":"Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges","volume":"33","author":"Burgos","year":"2020","journal-title":"Curr. Opin. Neurol."},{"key":"10.1016\/j.cmpb.2026.109643_bib0044","first-page":"1473","article-title":"Variability of fiber type distributions within human muscles","volume":"53","author":"Elder","year":"1982","journal-title":"J. Appl. Physiol. Respir. Env. Exerc. Physiol."},{"issue":"1","key":"10.1016\/j.cmpb.2026.109643_bib0045","doi-asserted-by":"crossref","first-page":"1264","DOI":"10.1038\/s42003-021-02790-y","article-title":"Sex differences in metabolic pathways are regulated by Pfkfb3 and Pdk4 expression in rodent muscle","volume":"4","author":"Christianto","year":"2021","journal-title":"Commun. Biol."},{"issue":"1","key":"10.1016\/j.cmpb.2026.109643_bib0046","doi-asserted-by":"crossref","first-page":"5160","DOI":"10.1038\/s41598-017-04896-y","article-title":"The effect of calorie restriction on mouse skeletal muscle is sex, strain and time-dependent","volume":"7","author":"Boldrin","year":"2017","journal-title":"Sci. Rep."},{"issue":"3","key":"10.1016\/j.cmpb.2026.109643_bib0047","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1111\/dmcn.70044","article-title":"Microscopic and molecular aspects of skeletal muscle alterations in cerebral palsy","volume":"68","author":"Edman","year":"2026","journal-title":"Dev. Med. Child Neurol."},{"issue":"3","key":"10.1016\/j.cmpb.2026.109643_bib0048","doi-asserted-by":"crossref","first-page":"R296","DOI":"10.1152\/ajpregu.00073.2020","article-title":"Age-related changes in isolated mouse skeletal muscle function are dependent on sex, muscle, and contractility mode","volume":"319","author":"Hill","year":"2020","journal-title":"Am. J. Physiol. Regul. Integr. Comp. Physiol."}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260726003925?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260726003925?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T20:29:12Z","timestamp":1790800152000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0169260726003925"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":48,"alternative-id":["S0169260726003925"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2026.109643","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"CellSize-Clust: An Unsupervised Multi-Algorithm Method for Classifying Skeletal Muscle Cells by Feret Diameter in Mice Soleus and Gastrocnemius","name":"articletitle","label":"Article Title"},{"value":"Computer Methods and Programs in Biomedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cmpb.2026.109643","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"109643"}}