In this article by PharmTech, Stuart McDougall, Principal Research Fellow at Arcinova, discusses how Artificial Intelligence (AI) and Machine Learning (ML) enhance bioanalysis.
AI-driven predictive models support real-time quality control, while machine learning algorithms identify trends and anomalies to ensure regulatory compliance. Together, they reduce development timelines, improve operational efficiency, and support scalable, data-driven innovation across the drug development lifecycle.
"AI/ML help automate data processing and integrate complex datasets from analytical platforms, enhancing assay precision and decision-making"
Continue reading the article on PharmTech to hear Stuart McDougall's thoughts on how new technologies are making bioanalysis more accurate, more efficient, and quicker, along with what is driving, or challenging, their implementation.
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Pharmaceutical Technology®, Vol. 49, No. 8, October 2025, Pages: 10–13