{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T07:17:54Z","timestamp":1788247074652,"version":"build-2803163510"},"reference-count":20,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T00:00:00Z","timestamp":1756857600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000901","name":"Juvenile Diabetes Research Foundation International","doi-asserted-by":"publisher","award":["3-SRA-2023-1422-S-B"],"award-info":[{"award-number":["3-SRA-2023-1422-S-B"]}],"id":[{"id":"10.13039\/100000901","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Diabetes Sci Technol"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:p>\n                    The Oral Minimal Model (OMM) analysis offers unique measures of glucose\u2013insulin regulation during glucose challenges. However, its manual test-by-test implementation limits scalability in large studies. We introduce the Automated Oral Minimal Model (AOMM), a tool that streamlines and automates the entire OMM workflow while preserving analytical fidelity, enabling efficient batch processing of large datasets. Built on SAAM II software, AOMM was validated against manually extracted results from\n                    <jats:italic toggle=\"yes\">Sunehag<\/jats:italic>\n                    et al (\n                    <jats:italic toggle=\"yes\">Obesity (Silver Spring)<\/jats:italic>\n                    , 2008), accurately reproducing key parameters such as insulin sensitivity (\n                    <jats:italic toggle=\"yes\">Si<\/jats:italic>\n                    ) and beta-cell responsivity (\n                    <jats:italic toggle=\"yes\">\u03a6<\/jats:italic>\n                    ) with high precision and substantial time savings. AOMM, with its user-friendly interface, facilitates broader application of minimal modeling in research and clinical studies.\n                  <\/jats:p>","DOI":"10.1177\/19322968251365274","type":"journal-article","created":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T12:27:51Z","timestamp":1756902471000},"page":"1645-1649","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Oral Minimal Models for Rapid Estimation of Insulin Sensitivity and Beta-Cell Responsivity in Large-Scale Data Sets: A Validation Study"],"prefix":"10.1177","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4498-7823","authenticated-orcid":false,"given":"Simone","family":"Perazzolo","sequence":"first","affiliation":[{"name":"Nanomath LLC, Spokane, WA, USA"},{"name":"University of Washington, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfonso","family":"Galderisi","sequence":"additional","affiliation":[{"name":"Yale University, New Haven, CT, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0704-8843","authenticated-orcid":false,"given":"Alice","family":"Carr","sequence":"additional","affiliation":[{"name":"University of Alberta, Edmonton, AB, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Colin","family":"Dayan","sequence":"additional","affiliation":[{"name":"University of Cardiff, Cardiff, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0169-6682","authenticated-orcid":false,"given":"Claudio","family":"Cobelli","sequence":"additional","affiliation":[{"name":"University of Padova, Padova, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,9,3]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.2337\/db13-1198"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1210\/jcem.85.11.6982"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Galderisi A Bonet J Ismail HM et al. Metabolic phenotype of stage 1 and stage 2 type 1 diabetes using modelling of beta cell function. J Clin Endocrinol Metab. 2025:dgaf086. doi:10.1210\/clinem\/dgaf086.","DOI":"10.1210\/clinem\/dgaf086"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.3389\/fendo.2020.583016"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2008.496"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00125-024-06249-7"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00125-024-06323-0"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Galderisi A Carr ALJ Martino M Taylor P Senior P Dayan C. Quantifying beta cell function in the preclinical stages of type 1 diabetes. Diabetologia. 2023;66:2189-2199. doi:10.1007\/s00125-023-06011-5.","DOI":"10.1007\/s00125-023-06011-5"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2023.1088670"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1210\/clinem\/dgac740"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1177\/19322968211015268"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0026-0495(98)90064-6"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/0169-2607(86)90106-9"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1002\/psp4.13181"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-1959-5_5"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0005-1098(96)00254-3"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.2337\/dc08-1826"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/10.995680"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1152\/ajpendo.00319.2003"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1114\/1.1507328"}],"container-title":["Journal of Diabetes Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/19322968251365274","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/19322968251365274","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/19322968251365274","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T07:02:48Z","timestamp":1788246168000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/19322968251365274"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,3]]},"references-count":20,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,9]]}},"alternative-id":["10.1177\/19322968251365274"],"URL":"https:\/\/doi.org\/10.1177\/19322968251365274","relation":{},"ISSN":["1932-2968","1932-2968"],"issn-type":[{"value":"1932-2968","type":"print"},{"value":"1932-2968","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,3]]}}}