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| dc.contributor.author | Canal-Alonso, Ángel | |
| dc.contributor.author | Egido, Noelia | |
| dc.contributor.author | Jiménez, Pedro | |
| dc.contributor.author | Prieto Tejedor, Javier | |
| dc.contributor.author | Corchado Rodríguez, Juan Manuel | |
| dc.date.accessioned | 2023-10-02T10:52:44Z | |
| dc.date.available | 2023-10-02T10:52:44Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://hdl.handle.net/10366/153107 | |
| dc.description.abstract | [EN]In the context of clinical trials, the implementation and adaptation of emerging technologies is essential to accelerate and improve medical research. This article explores the impact and applications of generative artificial intelligence (AI) at various stages of clinical trials. Its potential benefits are highlighted, such as optimizing patient selection, innovation in protocol design, accurate prediction of outcomes, and deeper analysis of complex data. Furthermore, the importance of combining these advanced tools with human knowledge and experience is highlighted, and the associated ethical and privacy considerations are mentioned. With generative AI. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.subject | Generative Artificial Intelligence | es_ES |
| dc.subject | Drug Design | es_ES |
| dc.subject | Clinical trials | es_ES |
| dc.subject.mesh | Drug Design | * |
| dc.subject.mesh | Clinical Trial | * |
| dc.title | Generative AI in Clinical Trials: Revolutionizing Design, Analysis and Prediction in Medical Research | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.subject.unesco | 1203.04 Inteligencia Artificial | es_ES |
| dc.subject.unesco | 2390.01 Diseño. Síntesis y Estudio Nuevos Fármacos | es_ES |
| dc.relation.projectID | CCTT3/20/SA/0003 | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| dc.type.hasVersion | info:eu-repo/semantics/draft | es_ES |
| dc.subject.decs | ensayo clínico | * |
| dc.subject.decs | diseño de fármacos | * |
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