Predicting Blood Glucose Levels with Organic Neuromorphic Micro‐Networks

Kurt, Ibrahim; Krauhausen, Imke; Spolaor, Simone; van de Burgt, Yoeri

doi:10.1002/advs.202308261

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Predicting Blood Glucose Levels with Organic Neuromorphic Micro‐Networks

Kurt, I., Krauhausen, I., Spolaor, S., & van de Burgt, Y. (2024). Predicting Blood Glucose Levels with Organic Neuromorphic Micro‐Networks. Advanced Science, 2308261. doi:10.1002/advs.202308261.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-3FF6-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-3FF7-5

Genre: Journal Article

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Creators:
Kurt, Ibrahim, Author
Krauhausen, Imke^{1, 2}, Author
Spolaor, Simone, Author
van de Burgt, Yoeri, Author

Affiliations:
1Eindhoven Univ Technol, Inst Complex Mol Syst, Eindhoven, Netherlands, ou_persistent22
2Dept. Blom: Molecular Electronics, MPI for Polymer Research, Max Planck Society, ou_1800284

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Language(s): eng - English

Dates: Published Online: 2024-04-29

Publication Status: Published online

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Identifiers: DOI: 10.1002/advs.202308261

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Title: Advanced Science

Other : Adv. Sci.

Source Genre: Journal

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Publ. Info: Weinheim : Wiley-VCH

Pages: - Volume / Issue: - Sequence Number: 2308261 Start / End Page: - Identifier: ISSN: 2198-3844
CoNE: https://pure.mpg.de/cone/journals/resource/2198-3844