| Sumario: | The article focuses on the increasing adoption of automation in small-molecule drug manufacturing, driven by technological advancements, cost pressures, and the complexity of drug formulations. Automation enhances efficiency, quality, and data integrity while addressing workforce challenges, yet its implementation remains underutilized in traditional batch manufacturing due to high upfront costs and the need for skilled personnel. The integration of hardware and software, including artificial intelligence (AI) and machine learning (ML), is crucial for optimizing processes and improving performance. The article emphasizes that a strategic approach, involving cross-functional teams and pilot projects, is essential for successful automation in the pharmaceutical industry.
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