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

pharmaphorum

JUNE 16, 2021

The first challenge is technical: how can the physical activities of a scientist be accurately captured in a digital format that can then be fed into the existing ecosystem of software and automation equipment to remove manual challenges of designing, executing, and analysing experiments? Lead the way with a scientist-centric mindset.

Pharma R&D 116
Pharma R&D Scientist Life Science Production 116
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Rethinking the pharma R&D lifecycle with AI in mind

Drug Discovery World

AUGUST 7, 2024

AI agents will also enable scientists to set up robotic automation just through natural language, democratising access across the industry. This knowledge work is about translating R&D data into decisions and documentation, and requires answering questions and generating content in the natural language of scientists.

Pharma R&D 69
Pharma R&D Clinical Trials Clinical Trials Drugs 69
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