Eawag | Establishing machine learning as alternative to fish testing

Innovation in pharmaceutical manufacturing raises key questions: How will AI change our operations? What does this mean for the skills of our workforce? How will it reshape our collaborative efforts? And crucially, how can we fully leverage these changes?

Thanks to a collaboration between CHUV, EPFL – through the Swiss Data Science Center – and UNIL, a predictive platform based on artificial intelligence is under development to improve patient care.

Applying machine learning to ecotoxicology could help reduce the number of animal tests, costs, and animals sacrificed while preserving the accuracy of the in vivo tests.