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The use of artificial intelligence (AI) in pharmaceutical technology has grown over time, and it may help save
time and money while also improving our understanding of the connections between various formulations and
process parameters. AI is a subfield of computer science called intelligence that focuses on the use of symbolic
programming to solve problems. It has significantly developed into a problem-solving science with numerous
applications in business, medicine, and engineering. The article discusses the development of novel peptides from
natural foods, the treatment and management of rare diseases, drug adherence and dosage, and challenges to the
adoption of AI in pharma. It also discusses manufacturing execution systems, automated control process systems,
and AI to predict new treatments.
Key words: ACPS, challenges to adoption
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