4.3 Article

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

Journal

CHEM CATALYSIS
Volume 3, Issue 1, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.checat.2022.100488

Keywords

-

Ask authors/readers for more resources

The article discusses the current state of continuous-flow photochemistry in drug discovery and its future integration with closed-loop artificial intelligence and machine learning approaches.
In this Activity article, Brenda Pijper (Horizon 2020 PhotoReAct early-stage researcher in the Chemical Technologies group at Jans-sen, the Pharmaceutical Companies of Johnson & Johnson) and Jesus Alca ' zar (head of the Chemical Technologies group at Janssen) and Gabriela Oksdath-Mansilla and Fabricio R. Bisogno (both pro-fessors at the Universidad Nacional de Co ' rdoba 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 ma-chine learning (AI/ML) approaches.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available