Advantages of Artificial Intelligence in Drug Discovery Processes


The recent study titled “Artificial Intelligence in Pharmaceutical Sciences” which was published in the journal Engineering emphasizes the importance of AI technology in the entire drug new drug research and development (R&D) process. AI has revolutionized the process drastically, from identifying drug targets to automatically conducting drug production.

The study highlights the multiple advantages of applying AI technology to the different facets of drug discovery across preclinical research, clinical trial design, and post-market surveillance. AI technology has created a shift in drug R&D, allowing for effective and cost-efficient creation of innovative, safe, and effective drugs. In addition, the utilization of AI can also dramatically reduce the cycle time and cost associated with the drug R&D process.

Despite the many benefits in the pharmaceutical sector, AI technology still has some limitations and presents certain challenges in drug discovery. In order to ensure the potential of AI technology is not overlooked, the authors in the study encourage further research and new insight into the use of AI in the drug discovery process.

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Megan Craig, M.Sc. is a specialist in the field of drug discovery and development. She reviews the study in the journal Engineering and provides insight into the beneficial applications of AI technology. Ms. Craig is a postdoctoral candidate at the University of Toronto, conducting research into the application of AI in drug R&D. With her expertise in artificial intelligence in the pharmaceutical industry, she is well-equipped to review the paper with an informed point-of-view.

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