First Organoid Intelligence (OI) workshop to form an OI community.
Level 5 - mechanism / opinion, no new human data
Workshop report and theoretical framework with no new empirical data (CEBM Level 5).
PubMed 36925616 · doi:10.3389/frai.2023.1116870
What was done
This paper summarizes the proceedings, goals, and strategic vision from the first Organoid Intelligence (OI) Workshop held at Johns Hopkins University on February 22–24, 2022. It outlines plans to establish an interdisciplinary research community combining 3D brain organoid biology, bioengineering, and machine learning to build biocomputing platforms.
What was found
The abstract reports no empirical data or quantitative findings. It presents the conceptual rationale for organoid intelligence—leveraging the low power consumption (~20 W) and plasticity of biological neural systems—and details a 10-year roadmap for establishing biocomputing interfaces, investigating neural plasticity, and applying organoid systems to neurological research and drug screening.
Why it matters
It formally introduces and defines organoid intelligence as a scientific field, providing a strategic roadmap to coordinate engineering, biological, and computational research in biological wetware computing.
Limits
This publication is an agenda-setting workshop summary and conceptual review rather than an empirical study. It contains no experimental data, benchmarks, or functional demonstrations of operational organoid-computer biocomputing systems.
Cited by
- supports The entire human brain operates on approximately 23 watts of power.