AI Decision Making in Biotech

This course explores how artificial intelligence supports decision making across the biotech lifecycle. You will learn how AI is used for target and biomarker prioritisation, experiment design, predictive modelling, clinical trial design and patient stratification, and R&D portfolio decisions. The course also covers interpreting model outputs and uncertainty, data quality and bias, regulatory and ethical considerations, and how to combine AI insights with scientific and business judgement. Basic biology and familiarity with data concepts are helpful; programming is not required.