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Automation in Science

Automation in Science content piece image

Poor preclinical data due to a lack of reproducibility, is one of the biggest contributors to clinical trial failures. As developers look to boost efficiency whilst decreasing costs, automation will be a key feature within drug research and development, from initial discovery to regulatory approval.

This eBook contains a collection of articles and interviews designed to provide you with a better understanding of the need for, and use of, automation in science.

Download this eBook to uncover more about:

  • The advantages and disadvantages of automation
  • Standardizing robotics and automation in the lab
  • How advances in robotic and automation technologies are improving reproducibilty, throughput and human health