Artículo

Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches

Pijper, Brenda; Alcázar, Jesus; Oksdath Mansilla, GabrielaIcon ; Bisogno, Fabricio RománIcon
Fecha de publicación: 01/2023
Editorial: Cell Press
Revista: Chem Catalysis
ISSN: 2667-1107
e-ISSN: 2667-1093
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

In this Activity article, Brenda Pijper (Horizon 2020 PhotoReAct early-stage researcher in the Chemical Technologies group at Janssen, the Pharmaceutical Companies of Johnson & Johnson) and Jesus Alcázar (head of the Chemical Technologies group at Janssen) and Gabriela Oksdath-Mansilla and Fabricio R. Bisogno (both professors at the Universidad Nacional de Córdoba and researchers at the National Scientific and Technical Research Council of Argentina [CONICET]) discuss the current state of continuous-flow photochemistry in drug discovery and its future as an automated platform integrated with closed-loop artificial intelligence and machine learning (AI/ML) approaches.
Palabras clave: AUTOMATED SYSTEMS , ARTIFICIAL INTELLIGENCE , MACHINE LEARNING , FLOW PHOTOCHEMISTRY
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/226749
DOI: http://dx.doi.org/10.1016/j.checat.2022.100488
Colecciones
Articulos(INFIQC)
Articulos de INST.DE INVESTIGACIONES EN FISICO- QUIMICA DE CORDOBA
Citación
Pijper, Brenda; Alcázar, Jesus; Oksdath Mansilla, Gabriela; Bisogno, Fabricio Román; Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches; Cell Press; Chem Catalysis; 3; 1; 1-2023; 1-3
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