5 Key Takeaways

• 1

  Analytical science is evolving in drug discovery due to the scale of data generated, enabling more informed decision-making.

• 2

  The integration of AI and automated workflows allows researchers to evaluate more conditions and create larger datasets.

• 3

  Complex and physiologically relevant models introduce variability, making it challenging to maintain consistent and reproducible data.

• 4

  Simpler assays can provide valuable information and are often easier to scale and reproduce in early discovery stages.

• 5

  Automation enhances the practicality of complex models by improving consistency, reducing variability, and allowing focus on data insights.