AI in Biopharma: Challenges and Opportunities

For instance, machine learning-powered predictive modelling tools can more accurately and quickly predict drug candidate behaviours and interactions, and maximise the potential for success in early discovery. Advanced machine learning (ML) algorithms are increasingly being used in the formulation design of biological drugs. By combining patterns from large data sets with knowledge from previous campaigns, resource requirements are minimised and development time scales are accelerated.