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Multimodal molecular imaging in drug discovery and development.
Vermeulen, Isabeau; Isin, Emre M; Barton, Patrick; Cillero-Pastor, Berta; Heeren, Ron M A.
Afiliación
  • Vermeulen I; The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands.
  • Isin EM; Development Science, UCB Biopharma SRL, Chemin du Foriest, B1420 Braine-l'Alleud, Belgium.
  • Barton P; DMPK, UCB Celltech, Branch of UCB Pharma SA, 208 Bath Road, Slough SL1 3WE, UK.
  • Cillero-Pastor B; The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands.
  • Heeren RMA; The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands. Electronic address: r.heeren@maastrichtuniversity.nl.
Drug Discov Today ; 27(8): 2086-2099, 2022 08.
Article en En | MEDLINE | ID: mdl-35429672
In addition to individual imaging techniques, the combination and integration of several imaging techniques, so-called multimodal imaging, can provide large amounts of anatomical, functional, and molecular information accelerating drug discovery and development processes. Imaging technologies aid in understanding the disease mechanism, finding new pharmacological targets, and assessment of new potential drug candidates and treatment response. Here, we describe how different imaging techniques can be used in different phases of drug discovery and development and highlight their strengths, related innovations, and future potential with a focus on the implementation of artificial intelligence (AI) and radiomics for imaging technologies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Descubrimiento de Drogas Tipo de estudio: Prognostic_studies Idioma: En Revista: Drug Discov Today Asunto de la revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Descubrimiento de Drogas Tipo de estudio: Prognostic_studies Idioma: En Revista: Drug Discov Today Asunto de la revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido