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How Far Has the ‘Organoid Matrix’ Come in Erasing the Boundary Between Reality and Virtual World?

This paper discusses the innovative concept of ‘Organoid Intelligence (OI)’. Organoid Intelligence aims to develop a new form of biological computing using human brain organoids (3D cultured brain cells). Since organoids can mimic the function and structure of the actual brain, when combined with artificial intelligence (AI), they have high potential to model learning and memory, and further extend into the realm of biological computing. This research demonstrates that biocomputing technology using organoids can play a crucial role in various fields such as brain disease research, drug development, and cognitive function modeling.


Real-world Application and Impact
The implications of this technology are vast, especially in the treatment of neurological diseases and neuroscience research. Organoid Intelligence could be used to study the early onset of neurodegenerative diseases like Alzheimer’s and Parkinson’s and develop personalized treatment approaches. By using organoid-based models, researchers could better understand how these diseases develop and test drug therapies with unprecedented precision.

Additionally, OI could pave the way for biological computers, creating machines that are capable of processing information similarly to the human brain. This has enormous potential for AI systems that need to handle complex, brain-like tasks. Bio-based AI could find applications in autonomous driving, robotics, and medical diagnostics—areas where machines would benefit from human-like adaptability and problem-solving capabilities.

In everyday life, this technology could influence how we interact with devices. Imagine a future where smart devices, powered by organoid-based intelligence, can monitor and manage not just physical health but also mental well-being. Wearable devices might integrate OI to offer real-time mental health assessments, tailoring responses and recommendations to an individual’s neurological state.

Nature Reviews Bioengineering