Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/195643
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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.identifier.issn2813-6330-
dc.identifier.urihttp://hdl.handle.net/2445/195643-
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.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.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-
dc.identifier.idgrec732696-
dc.date.updated2023-03-20T16:36:35Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
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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