5 ways we’re transforming artificial intelligence into impact

Source Domain: www.merck.com

Accelerating Drug Discovery: Merck employs AI and machine learning foundation models to enhance drug design, allowing for faster and more efficient molecular testing and potentially speeding up the 10-year process of developing new medicines.
Optimizing Clinical Trials: AI assists in addressing the challenge of patient enrollment and retention in clinical trials by aiding in site selection, improving patient matching, and implementing predictive models for dropout risks.
Automating Workflows: The company’s enterprise-wide training program instructs employees on utilizing AI responsibly to automate and simplify processes, thereby increasing overall productivity and allowing employees to focus on more impactful tasks.
Modernizing Manufacturing: Generative AI is used to ensure supply chain resilience against disruptions, while computer vision aids in manufacturing quality inspections, reducing waste, expenses, and speeding up production.
Streamlining Education and Engagement: AI enhances the delivery of quality, personalized information to healthcare providers and patients, and supports real-time responses through AI-powered chatbots.
Data-Driven Innovation: Data is central to Merck’s AI strategy, with efforts focused on structuring and organizing vast data repositories to enable faster and more personalized outcomes in drug research and manufacturing processes.

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