Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/195643
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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