Barros, Michael Taynnan and Kagan, Brett J and Hartung, Thomas and Smirnova, Lena (2024) Intersection between the biological and digital: synthetic biological intelligence and organoid intelligence. Frontiers in Cellular Neuroscience, 18. 1542629-. DOI https://doi.org/10.3389/fncel.2024.1542629
Barros, Michael Taynnan and Kagan, Brett J and Hartung, Thomas and Smirnova, Lena (2024) Intersection between the biological and digital: synthetic biological intelligence and organoid intelligence. Frontiers in Cellular Neuroscience, 18. 1542629-. DOI https://doi.org/10.3389/fncel.2024.1542629
Barros, Michael Taynnan and Kagan, Brett J and Hartung, Thomas and Smirnova, Lena (2024) Intersection between the biological and digital: synthetic biological intelligence and organoid intelligence. Frontiers in Cellular Neuroscience, 18. 1542629-. DOI https://doi.org/10.3389/fncel.2024.1542629
Abstract
The convergence of biology and digital technology is redefining our understanding of intelligence, innovation, and humanity's future. Synthetic Biological Intelligence (SBI) and Organoid Intelligence (OI) are leading this transformation by merging living biological systems with computational frameworks, creating groundbreaking opportunities in medicine, research, and biocomputing. The Research Topic “Intersection Between the Biological and Digital: Synthetic Biological Intelligence and Organoid Intelligence” reflects the interdisciplinary nature and disruptive potential of this field. With already nearly 9,000 downloads and 86,000 views at the time of closing the Research Topic, it is evident that this subject resonates deeply with researchers and innovators across the globe. The five articles and contributions from 25 authors provide a comprehensive exploration of this rapidly evolving field, spanning experimental methods, engineering solutions, and ethical considerations.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | artificial intelligence; bioengineering; cell culture; embodied intelligence; learning; memory; neuroscience; organoid intelligence |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 21 Apr 2026 10:57 |
| Last Modified: | 21 Apr 2026 10:57 |
| URI: | http://repository.essex.ac.uk/id/eprint/40417 |
Available files
Filename: Editorial Intersection between the biological and digital synthetic biological intelligence and organoid intelligence.pdf
Licence: Creative Commons: Attribution 4.0