The most common challenges faced by all AI startups in design and execution of preclinical experiments have to do with:
- reduce time, money, and uncertainty in planning preclinical experiments,
- decode open and closed access data on reagents and get actionable insights,
- automate selection, manipulation and analysis of cells, and
- automate sample analysis with robotic cloud laboratory.
For more here
https://medium.com/@avocado_2015/artificial-intelligence-in-preclinical-design-and-execution-investors-and-startups-2bee3400ee6b