Andrew Parker, PhD, executive drug development consultant, Quotient Sciences, explains how AI is integrated into pharmaceutical development.
|Podcasts|August 6, 2021
Practical Applications of Artificial Intelligence to Gain Insights in Pharma Manufacturing
Author(s)Aizon
Artificial Intelligence (AI) is changing how biotech and pharmaceutical companies operate. Increased competition and an enhanced regulatory landscape are forcing drug manufacturers to eliminate waste, create efficiencies and squeeze every last bit of productivity out of existing processes. The benefits can be enormous. A three percent increase in usable yield could increase revenue by millions of dollars. Pharma organizations that take advantage of AI/ML in GxP environments get better visibility into their manufacturing operations and can thereby optimize yields and predict anomalies thereby providing more to the market. We’ll explore where the industry is in its adoption of AI, what the challenges are in implementation that keep the pharma industry behind other industries, and explore case studies of those intrepid organizations who have worked through the challenges to implement and reap the benefits.
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