Automation in Science
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
