| Texto completo | |
| Autor(es): Mostrar menos - |
Silva-Sousa, Thayna
;
Usuda, Julia Nakanishi
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Al-Arawe, Nada
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Frias, Francisca
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Hinterseher, Irene
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Catar, Rusan
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Luecht, Christian
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Riesner, Katarina
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Hackel, Alexander
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Schimke, Lena F.
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Dias, Haroldo Dutra
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Filgueiras, Igor Salerno
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Nakaya, Helder, I
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Camara, Niels Olsen Saraiva
;
Fischer, Stefan
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Riemekasten, Gabriela
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Ringden, Olle
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Penack, Olaf
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Winkler, Tobias
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Duda, Georg
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Fonseca, Dennyson Leandro M.
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Cabral-Marques, Otavio
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Moll, Guido
Número total de Autores: 23
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| Tipo de documento: | Artigo Científico |
| Fonte: | Stem Cells; v. 42, n. 11, p. 16-pg., 2024-10-13. |
| Resumo | |
Advanced bioinformatics analysis, such as systems biology (SysBio) and artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL), is increasingly present in stem cell (SC) research. An approximate timeline on these developments and their global impact is still lacking. We conducted a scoping review on the contribution of SysBio and AI analysis to SC research and therapy development based on literature published in PubMed between 2000 and 2024. We identified an 8 to 10-fold increase in research output related to all 3 search terms between 2000 and 2021, with a 10-fold increase in AI-related production since 2010. Use of SysBio and AI still predominates in preclinical basic research with increasing use in clinically oriented translational medicine since 2010. SysBio- and AI-related research was found all over the globe, with SysBio output led by the (US, n = 1487), (UK, n = 1094), Germany (n = 355), The Netherlands (n = 339), Russia (n = 215), and France (n = 149), while for AI-related research the US (n = 853) and UK (n = 258) take a strong lead, followed by Switzerland (n = 69), The Netherlands (n = 37), and Germany (n = 19). The US and UK are most active in SCs publications related to AI/ML and AI/DL. The prominent use of SysBio in ESC research was recently overtaken by prominent use of AI in iPSC and MSC research. This study reveals the global evolution and growing intersection among AI, SysBio, and SC research over the past 2 decades, with substantial growth in all 3 fields and exponential increases in AI-related research in the past decade. Top: Depicting the observational period 2000-2024 to study the publishing trends considering the interrelationship between the search terms: stem cell research, systems biology, and artificial intelligence. Bottom: Representation of an adjunct AI-generated image constructed based on the article title and key words with Dall-E AI quoting: An image depicting a futuristic laboratory where advanced AI systems are analyzing stem cells for therapeutic development. The scene is filled with high-tech equipment, holographic displays, and scientists working alongside robots, showcasing the integration of AI in biological research.." (AU) | |
| Processo FAPESP: | 20/16246-2 - Caracterização holística do mecanismo de exaustão dos linfócitos T em pacientes com Zika |
| Beneficiário: | Dennyson Leandro Mathias da Fonseca |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |
| Processo FAPESP: | 20/07069-0 - Análise sistêmica e integrativa dos mecanismos de exaustão dos linfócitos T de pacientes com COVID-19 |
| Beneficiário: | Otávio Cabral Marques |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 23/07806-2 - Fundamentação bioinformática das análises sistêmicas e integrativas de infecções virais. |
| Beneficiário: | Igor Salerno Filgueiras |
| Modalidade de apoio: | Bolsas no Brasil - Programa Capacitação - Treinamento Técnico |
| Processo FAPESP: | 20/01688-0 - Análise sistêmica e integrativa da resposta imune às infecções virais por Zika e Dengue |
| Beneficiário: | Otávio Cabral Marques |
| Modalidade de apoio: | Bolsas no Brasil - Jovens Pesquisadores |
| Processo FAPESP: | 18/18886-9 - Análise sistêmica e integrativa da resposta imune às infecções virais por Zika e Dengue |
| Beneficiário: | Otávio Cabral Marques |
| Modalidade de apoio: | Auxílio à Pesquisa - Jovens Pesquisadores |