The life sciences industry has shifted to a patient-centric approach, leading to the development of novel products like precision medicine that require proactive quality management solutions. Product release or disposition is a complex and costly process that involves data from various sources and systems. AI-enabled quality management can help expedite the process, improving efficiency and effectiveness.
This white paper reviews how AI and other digital innovations can help quality teams and regulators automate monitoring, reporting and response processes, and enable real-time visibility from development to delivery, resulting in better management of product supply, safety and cost.
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