A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management.
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| Title: | A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management. |
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| Authors: | Haleem MS; School of Engineering, University of Warwick, Coventry, CV4 7AL, UK. salman.haleem@warwick.ac.uk.; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK. salman.haleem@warwick.ac.uk., Katsarou D; Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece., Georga EI; Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece., Dafoulas GE; Faculty of Medicine, University of Thessaly, Volos, Greece., Bargiota A; Department of Endocrinology and Metabolic Diseases, University Hospital of Larisa, Larissa, Greece., Lopez-Perez L; Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, Madrid, Spain., Rujas M; Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, Madrid, Spain., Fico G; Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, Madrid, Spain., Pecchia L; Università Campus Bio-Medico, Via Álvaro del Portillo, 21, 00128, Roma, Italy., Fotiadis D; Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece. |
| Corporate Authors: | Gatekeeper Consortium |
| Source: | Scientific reports [Sci Rep] 2025 Jul 29; Vol. 15 (1), pp. 27625. Date of Electronic Publication: 2025 Jul 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-07272-3 |
