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Transforming pharma R&D with a scientist-centric approach to AI & automation

pharmaphorum

Due to increasing complexity in R&D, pharma teams are under pressure to drive down costs and speed up time to market whilst improving outcomes, and most recognise that incorporating automation and AI into their workflows will be game-changing. So what is stopping the industry from adopting new ways of working?

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Rethinking the pharma R&D lifecycle with AI in mind

Drug Discovery World

The rest of the pharma R&D system — how drugs are developed, tested, approved, and manufactured — will need to accommodate this vast increase in speed and scale. Pharma R&D has been heading in the wrong direction, becoming progressively less efficient over the last few decades.