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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, 11(27): 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-9183-8
Genre: Journal Article

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Advanced Science - 2024 - Kurt - Predicting Blood Glucose Levels with Organic Neuromorphic Micro‐Networks.pdf (Publisher version), 3MB
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Advanced Science - 2024 - Kurt - Predicting Blood Glucose Levels with Organic Neuromorphic Micro‐Networks.pdf
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2024
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 Creators:
Kurt, Ibrahim, Author
Krauhausen, Imke1, 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: 2024-04-292024-07-17
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/advs.202308261
 Degree: -

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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: 11 (27) Sequence Number: 2308261 Start / End Page: - Identifier: ISSN: 2198-3844
CoNE: https://pure.mpg.de/cone/journals/resource/2198-3844