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The potential of AI in pharma R&D

Pharmaceutical Technology

Developing a new drug is a monumental achievement — the reward of years of research and innovation. Successful innovation requires enormous effort from countless project teams that build on the medical, scientific and technological research and development of generations before them.

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EFPIA states AI rules must “enable not hinder” pharma R&D

Drug Discovery World

Significantly for drug discovery, ‘scientific research and development’ is excluded from the scope of the Act, though this will be defined further in future guidance. Diana Spencer, Senior Digital Content Editor, DDW The post EFPIA states AI rules must “enable not hinder” pharma R&D appeared first on Drug Discovery World (DDW).

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

pharmaphorum

Borrowing from the Computer-Aided Design and Manufacturing (CAD/CAM) approaches in the semiconductor industry, a similar concept, called Computer-Aided Biology (CAB), can be applied to the life sciences. Deloitte anticipates that the next five years could see AI dramatically accelerating the drug discovery process. About the author.