Artificial intelligence for optimizing benefits and minimizing risks of pharmacological therapies: challenges and opportunities

Artificial intelligence for optimizing benefits and minimizing risks of pharmacological therapies: challenges and opportunities

In recent years, there has been an exponential increase in the generation and accessibility of electronic healthcare data, often referred to as “real-world data”. The landscape of data sources has significantly expanded to encompass traditional databases and newer sources such as the social media, w...

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Bibliographic Details
Main Authors: Salvatore Crisafulli, Francesco Ciccimarra, Chiara Bellitto, Massimo Carollo, Elena Carrara, Lisa Stagi, Roberto Triola, Annalisa Capuano, Cristiano Chiamulera, Ugo Moretti, Eugenio Santoro, Alberto Eugenio Tozzi, Giuseppe Recchia, Gianluca Trifirò
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Drug Safety and Regulation
Subjects:
artificial intelligence
machine learning
pharmacological therapies
pharmacovigilance
pharmacoepidemiology
real-world evidence
Online Access:https://www.frontiersin.org/articles/10.3389/fdsfr.2024.1356405/full
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https://www.frontiersin.org/articles/10.3389/fdsfr.2024.1356405/full

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