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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37938
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dc.contributor.authorMenon, Tara Pen_UK
dc.contributor.authorMahajan, Arjunen_UK
dc.contributor.authorPowell, Dylanen_UK
dc.date.accessioned2026-04-11T00:03:22Z-
dc.date.available2026-04-11T00:03:22Z-
dc.date.issued2026-01-10en_UK
dc.identifier.other131en_UK
dc.identifier.urihttp://hdl.handle.net/1893/37938-
dc.description.abstractCancer care generates vast quantities of data including clinical records, pathology images, radiology scans, and molecular profiles, yet these modalities are rarely integrated in a systematic, automated manner within routine clinical workflows, remaining largely siloed across separate departmental and technical systems. Foundation model-driven embeddings—or numerical representations (vectors) that summarize complex data such as text, images ,and molecular profiles—offer a framework to integrate these data streams into unified patient representations. Here we examine the HONeYBEE platform’s approach to multimodal integration in oncology, situate it within broader developments in representation learning, and clinical and technical challenges that may.shape its path to implementationen_UK
dc.language.isoenen_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationMenon TP, Mahajan A & Powell D (2026) Foundation model embeddings for multimodal oncology data integration. <i>npj Digital Medicine</i>, 9 (1), Art. No.: 131. https://doi.org/10.1038/s41746-025-02312-8en_UK
dc.rightsThis article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License,which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence,unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by nc-nd/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.titleFoundation model embeddings for multimodal oncology data integrationen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41746-025-02312-8en_UK
dc.identifier.pmid41514042en_UK
dc.citation.jtitlenpj Digital Medicineen_UK
dc.citation.issn2398-6352en_UK
dc.citation.issn2398-6352en_UK
dc.citation.volume9en_UK
dc.citation.issue1en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emaildylan.powell@stir.ac.uken_UK
dc.citation.date10/01/2026en_UK
dc.contributor.affiliationVirginia Polytechnic Institute And State Universityen_UK
dc.contributor.affiliationHarvard Medical Schoolen_UK
dc.contributor.affiliationHealth Sciences Stirlingen_UK
dc.identifier.isiWOS:001682991900001en_UK
dc.identifier.scopusid105029578334en_UK
dc.identifier.wtid2245659en_UK
dc.contributor.orcid0000-0003-1233-5468en_UK
dc.date.accepted2025-12-21en_UK
dcterms.dateAccepted2025-12-21en_UK
dc.date.filedepositdate2026-03-24en_UK
rioxxterms.apcpaiden_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMenon, Tara P|en_UK
local.rioxx.authorMahajan, Arjun|en_UK
local.rioxx.authorPowell, Dylan|0000-0003-1233-5468en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2026-03-24en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2026-03-24|en_UK
local.rioxx.filenameFoundation model embeddings for multimodal oncology data integration.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2398-6352en_UK
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