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Artificial intelligence for dementia drug discovery and trials optimization.
Doherty, Thomas; Yao, Zhi; Khleifat, Ahmad A L; Tantiangco, Hanz; Tamburin, Stefano; Albertyn, Chris; Thakur, Lokendra; Llewellyn, David J; Oxtoby, Neil P; Lourida, Ilianna; Ranson, Janice M; Duce, James A.
Afiliación
  • Doherty T; Eisai Europe Ltd, Hatfield, UK.
  • Yao Z; University of Westminster, London, UK.
  • Khleifat AAL; LifeArc, Stevenage, UK.
  • Tantiangco H; Institute of Psychiatry, Psychology & Neuroscience, Department of Basic and Clinical Neuroscience, King's College London, London, UK.
  • Tamburin S; Information School, University of Sheffield, Sheffield, UK.
  • Albertyn C; University of Verona, Department of Neurosciences, Biomedicine & Movement Sciences, Verona, Italy.
  • Thakur L; Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Llewellyn DJ; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Oxtoby NP; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
  • Lourida I; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Ranson JM; Alan Turing Institute, London, UK.
  • Duce JA; UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Alzheimers Dement ; 19(12): 5922-5933, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37587767
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Demencia Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Alzheimers Dement Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Demencia Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Alzheimers Dement Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido