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Title: | The Baltimore declaration toward the exploration of organoid intelligence |
Author: | Hartung, Thomas Smirnova, Lena Morales Pantoja, Itzy E. Akwaboah, Akwasi Alam El Din, Dowlette-Mary Berlinicke, Cynthia A. Boyd, J. Lomax Caffo, Brian S. Cappiello, Ben Cohen-Karni, Tzahi Curley, J. Lowry Etienne-Cummings, Ralph Dastgheyb, Raha Gracias, David H. Gilbert, Frederic Habela, Christa Whelan Han, Fang Harris, Timothy D. Herrmann, Kathrin Hill, Eric J. Huang, Qi Jabbour, Rabih E. Johnson, Erik C. Kagan, Brett J. Krall, Caroline Levchenko, Andre Locke, Paul Maertens, Alexandra Metea, Monica Muotri, Alysson R. Parri, Rheinallt Paulhamus, Barton L. Plotkin, Jesse D. Roach, Paul Romero, July Carolina Schwamborn, Jens C. Sillé, Fenna Szalay, Alexander S. Tsaioun, Katya Tornero, Daniel Vogelstein, Joshua T. Wahlin, Karl J. Zack, Donald J. |
Keywords: | Manifests Intel·ligència artificial en medicina Fisiologia cel·lular Sistemes classificadors (Intel·ligència artificial) Aprenentatge Bioenginyeria Biologia computacional Manifestos Medical artificial intelligence Cell physiology Learning classifier systems Learning Bioengineering Computational biology |
Issue Date: | 28-Feb-2023 |
Publisher: | Frontiers |
Abstract: | We, the participants of the First Organoid Intelligence Workshop - "Forming an OI Community" (22-24 February 2022), call on the international scientific community to explore the potential of human brain-based organoid cell cultures to advance our understanding of the brain and unleash new forms of biocomputing while recognizing and addressing the associated ethical implications. The term "organoid intelligence" (OI) has been coined to describe this research and development approach (1) in a manner consistent with the term "artificial intelligence" (AI) - used to describe the enablement of computers to perform tasks normally requiring human intelligence. OI has the potential for diverse and far-reaching applications that could benefit humankind and our planet, and which urge the strategic development of OI as a collaborative scientific discipline. OI holds promise to elucidate the physiology of human cognitive functions such as memory and learning. It presents game-changing opportunities in biological and hybrid computing that could overcome significant limitations in silicon-based computing. It offers the prospect of unparalleled advances in interfaces between brains and machines. Finally, OI could allow breakthroughs in modeling and treating dementias and other neurogenerative disorders that cause an immense and growing disease burden globally. Realizing the world-changing potential of OI will require scientific breakthroughs. We need advances in human stem cell technology and bioengineering to recreate brain architectures and to model their potential for pseudo-cognitive capabilities. We need interface breakthroughs to allow us to deliver input signals to organoids, measure output signals, and employ feedback mechanisms to model learning processes. We also need novel machine learning, big data, and AI technologies to allow us to understand brain organoids. |
Note: | Reproducció del document publicat a: https://doi.org/10.3389/fsci.2023.1068159 |
It is part of: | Frontiers in Science, 2023, vol. 1, p. 1068159 |
URI: | http://hdl.handle.net/2445/195643 |
Related resource: | https://doi.org/10.3389/fsci.2023.1068159 |
ISSN: | 2813-6330 |
Appears in Collections: | Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer) Articles publicats en revistes (Institut de Neurociències (UBNeuro)) Articles publicats en revistes (Biomedicina) |
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