The Baltimore declaration toward the exploration of organoid intelligence

dc.contributor.authorHartung, Thomas
dc.contributor.authorSmirnova, Lena
dc.contributor.authorMorales Pantoja, Itzy E.
dc.contributor.authorAkwaboah, Akwasi
dc.contributor.authorAlam El Din, Dowlette-Mary
dc.contributor.authorBerlinicke, Cynthia A.
dc.contributor.authorBoyd, J. Lomax
dc.contributor.authorCaffo, Brian S.
dc.contributor.authorCappiello, Ben
dc.contributor.authorCohen-Karni, Tzahi
dc.contributor.authorCurley, J. Lowry
dc.contributor.authorEtienne-Cummings, Ralph
dc.contributor.authorDastgheyb, Raha
dc.contributor.authorGracias, David H.
dc.contributor.authorGilbert, Frederic
dc.contributor.authorHabela, Christa Whelan
dc.contributor.authorHan, Fang
dc.contributor.authorHarris, Timothy D.
dc.contributor.authorHerrmann, Kathrin
dc.contributor.authorHill, Eric J.
dc.contributor.authorHuang, Qi
dc.contributor.authorJabbour, Rabih E.
dc.contributor.authorJohnson, Erik C.
dc.contributor.authorKagan, Brett J.
dc.contributor.authorKrall, Caroline
dc.contributor.authorLevchenko, Andre
dc.contributor.authorLocke, Paul
dc.contributor.authorMaertens, Alexandra
dc.contributor.authorMetea, Monica
dc.contributor.authorMuotri, Alysson R.
dc.contributor.authorParri, Rheinallt
dc.contributor.authorPaulhamus, Barton L.
dc.contributor.authorPlotkin, Jesse D.
dc.contributor.authorRoach, Paul
dc.contributor.authorRomero, July Carolina
dc.contributor.authorSchwamborn, Jens C.
dc.contributor.authorSillé, Fenna
dc.contributor.authorSzalay, Alexander S.
dc.contributor.authorTsaioun, Katya
dc.contributor.authorTornero, Daniel
dc.contributor.authorVogelstein, Joshua T.
dc.contributor.authorWahlin, Karl J.
dc.contributor.authorZack, Donald J.
dc.date.accessioned2023-03-20T16:36:35Z
dc.date.available2023-03-20T16:36:35Z
dc.date.issued2023-02-28
dc.date.updated2023-03-20T16:36:35Z
dc.description.abstractWe, 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.
dc.format.extent3 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec732696
dc.identifier.issn2813-6330
dc.identifier.urihttps://hdl.handle.net/2445/195643
dc.language.isoeng
dc.publisherFrontiers
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3389/fsci.2023.1068159
dc.relation.ispartofFrontiers in Science, 2023, vol. 1, p. 1068159
dc.relation.urihttps://doi.org/10.3389/fsci.2023.1068159
dc.rightscc-by (c) Hartung, Thomas, et al., 2023
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceArticles publicats en revistes (Biomedicina)
dc.subject.classificationManifests
dc.subject.classificationIntel·ligència artificial en medicina
dc.subject.classificationFisiologia cel·lular
dc.subject.classificationSistemes classificadors (Intel·ligència artificial)
dc.subject.classificationAprenentatge
dc.subject.classificationBioenginyeria
dc.subject.classificationBiologia computacional
dc.subject.otherManifestos
dc.subject.otherMedical artificial intelligence
dc.subject.otherCell physiology
dc.subject.otherLearning classifier systems
dc.subject.otherLearning
dc.subject.otherBioengineering
dc.subject.otherComputational biology
dc.titleThe Baltimore declaration toward the exploration of organoid intelligence
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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