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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.
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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  Data: <searchLink fieldCode="AU" term="%22Haleem+MS%22">Haleem MS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Katsarou+D%22">Katsarou D</searchLink>; Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.<br /><searchLink fieldCode="AU" term="%22Georga+EI%22">Georga EI</searchLink>; Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.<br /><searchLink fieldCode="AU" term="%22Dafoulas+GE%22">Dafoulas GE</searchLink>; Faculty of Medicine, University of Thessaly, Volos, Greece.<br /><searchLink fieldCode="AU" term="%22Bargiota+A%22">Bargiota A</searchLink>; Department of Endocrinology and Metabolic Diseases, University Hospital of Larisa, Larissa, Greece.<br /><searchLink fieldCode="AU" term="%22Lopez-Perez+L%22">Lopez-Perez L</searchLink>; Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, Madrid, Spain.<br /><searchLink fieldCode="AU" term="%22Rujas+M%22">Rujas M</searchLink>; Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, Madrid, Spain.<br /><searchLink fieldCode="AU" term="%22Fico+G%22">Fico G</searchLink>; Universidad Politécnica de Madrid-Life Supporting Technologies Research Group, ETSIT, Madrid, Spain.<br /><searchLink fieldCode="AU" term="%22Pecchia+L%22">Pecchia L</searchLink>; Università Campus Bio-Medico, Via Álvaro del Portillo, 21, 00128, Roma, Italy.<br /><searchLink fieldCode="AU" term="%22Fotiadis+D%22">Fotiadis D</searchLink>; Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.
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