English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Artificial intelligence and machine learning are poised to disrupt PETimaging from bench to clinic. In this perspective we offer insights into howthe technology could be applied to improve the design and synthesis of newradiopharmaceuticals for PET imaging, including identification of an optimallabeling approach as well as strategies for radiolabeling reactionoptimization.

Potential Applications of Artificial Intelligence and Machine Learning in Radiochemistry and Radiochemical Engineering