{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:51:09Z","timestamp":1782989469285,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"abstract":"<jats:p>This work presents a FAIR-compliant, multimodal PET-CT and clinical dataset developed within the EUCAIM framework to support future AI-based prediction of response to NST in LABC patients. A real-world dataset was curated, harmonized, and integrated into the EUCAIM CDM within a federated infrastructure. While predictive modeling is ongoing, this study focuses on data preparation and infrastructure, key bottlenecks for AI development, demonstrating the feasibility of integrating local hospital data into a European federated ecosystem to enable future multicentric AI applications.<\/jats:p>","DOI":"10.3233\/shti260886","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:02:01Z","timestamp":1782986521000},"source":"Crossref","is-referenced-by-count":0,"title":["Enabling AI-Based Prediction of Neoadjuvant Treatment Response: A FAIR Multimodal Dataset Within EUCAIM"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4322-6845","authenticated-orcid":false,"given":"Mar\u00eda","family":"Gonz\u00e1lez L\u00f3pez","sequence":"first","affiliation":[{"name":"Computational Health Informatics Group. IBiS\/HUVR\/CSIC\/US"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"EUCAIM CA","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosa Ma","family":"\u00c1lvarez P\u00e9rez","sequence":"additional","affiliation":[{"name":"Molecular Imaging, Theragnosis and Precision Nuclear Medicine Group. IBiS\/Department of Nuclear Medicine. HUVR\/CSIC\/US"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1041-4167","authenticated-orcid":false,"given":"Francisco","family":"Rey Gardu\u00f1o","sequence":"additional","affiliation":[{"name":"Computational Health Informatics Group. IBiS\/HUVR\/CSIC\/US"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 Manuel","family":"Jim\u00e9nez-Hoyuela Garc\u00eda","sequence":"additional","affiliation":[{"name":"Molecular Imaging, Theragnosis and Precision Nuclear Medicine Group. IBiS\/Department of Nuclear Medicine. HUVR\/CSIC\/US"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco Javier","family":"Castell Monsalve","sequence":"additional","affiliation":[{"name":"Department of Radiology. HUVR"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2609-575X","authenticated-orcid":false,"given":"Carlos Luis","family":"Parra Calder\u00f3n","sequence":"additional","affiliation":[{"name":"Computational Health Informatics Group. IBiS\/HUVR\/CSIC\/US"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260886","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:02:02Z","timestamp":1782986522000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260886"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260886","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}