Review of Artificial Intelligence Applications and Algorithms for Brain Organoid Research
The human brain organoid is a miniature three-dimensional tissue culture that can simulate the structure and function of the brain in an in vitro culture environment. Although we consider that human brain organoids could be used to understand brain development and diseases, experimental models of human brain organoids are so highly variable that we apply artificial intelligence (AI) techniques to investigate the development mechanism of the human brain. Therefore, this study briefly reviewed commonly used AI applications for human brain organoid-magnetic resonance imaging, electroencephalography, and gene editing techniques, as well as related AI algorithms. Finally, we discussed the limitations, challenges, and future study direction of AI-based technology for human brain organoids.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2020 |
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Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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Enthalten in: |
Interdisciplinary sciences, computational life sciences - 12(2020), 4 vom: 24. Dez., Seite 383-394 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Badai, Jiayidaer [VerfasserIn] |
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Links: |
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Themen: |
Artificial intelligence |
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Anmerkungen: |
Date Completed 17.09.2021 Date Revised 17.09.2021 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1007/s12539-020-00386-4 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM314066535 |
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520 | |a The human brain organoid is a miniature three-dimensional tissue culture that can simulate the structure and function of the brain in an in vitro culture environment. Although we consider that human brain organoids could be used to understand brain development and diseases, experimental models of human brain organoids are so highly variable that we apply artificial intelligence (AI) techniques to investigate the development mechanism of the human brain. Therefore, this study briefly reviewed commonly used AI applications for human brain organoid-magnetic resonance imaging, electroencephalography, and gene editing techniques, as well as related AI algorithms. Finally, we discussed the limitations, challenges, and future study direction of AI-based technology for human brain organoids | ||
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