Artificial Intelligence In Pharmaceutical Sciences: Fad Or Future?

• By: DAMIATI, Safa A. (King Abdulaziz University, Saudi Arabia)
• Co-author(s): Dr Safa A. Damiati (King Abdulaziz University, Jeddah, Saudi Arabia)
  
• Abstract:

  Background information
  Artificial intelligence (AI) may be a game changer for pharmaceutical scientists. There is a growing interest in the uptake of modern AI technologies within different pharmaceutical systems. Many of these technologies utilise data to develop powerful predictive models that can be used to offer efficient solutions, minimise costs, and ultimately improve outcomes. However, there can be some concerning issues such as data availability, accessibility, and reproducibility.
  Purpose
  One approach that can offer a method of circumventing significantly trial-and-error experimentations and their associated costs and time during the experimental work in pharmaceutical research is to use modern AI technologies.
  Method
  Current work investigates the use of machine learning and mainly artificial neural networks (ANNs) in the development of AI applications for the prediction of optimized pharmaceutical formulations.
  Results
  Preliminary results showed promising findings which can encourage the utilization of machine learning, particularly ANNs to design AI models for the prediction of optimised pharmaceutical formulations.
  Conclusion
  AI and machine learning have a hopeful future in pharmaceutical sciences. Future work aims to explore further the potentials of AI and machine learning technologies for wider pharmaceutical applications.