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First Organoid Intelligence (OI) workshop to form an OI community.

Itzy E Morales Pantoja1, Lena Smirnova1, Alysson R Muotri2,3

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Organoid Intelligence (OI) harnesses brain organoids for biocomputing, merging biology and AI. This new field explores organoid computation, learning, and its potential to advance neurological research and drug development.

Keywords:
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Area of Science:

  • Neuroscience
  • Biotechnology
  • Artificial Intelligence

Background:

  • The human brain excels at efficient information processing, learning, and adaptation, surpassing current computer systems.
  • Three-dimensional (3D) brain organoids offer advanced biological models for recapitulating human brain functions.
  • Organoid Intelligence (OI) emerges as a novel field integrating brain organoids with computer technology.

Purpose of the Study:

  • To explore the computational and information storage capabilities of brain organoids.
  • To investigate how learning impacts structural and functional connectivity within organoids.
  • To establish Organoid Intelligence as a new scientific discipline and foster community engagement.

Main Methods:

  • Utilizing advancements in stem cell technology, bioengineering, and machine learning.
  • Interfacing brain organoids with computer systems for biocomputing applications.
  • Analyzing changes in organoid connectivity patterns in response to learning tasks.

Main Results:

  • Brain organoids demonstrate potential for computing and information processing (input/output).
  • Learning induces changes in the structural and functional connectivity of organoids.
  • The first Organoid Intelligence Workshop was held to establish a community and roadmap.

Conclusions:

  • Organoid Intelligence holds significant potential for revolutionizing computing and neurological research.
  • Understanding organoid learning mechanisms can provide insights into early human cognition.
  • OI requires a multidisciplinary approach and community collaboration for future development.