Recent technological innovations harnessing machine learning and automation are transforming biotech research and production. Techniques such as Bayesian optimization integrated with thermodynamics enable optimization of culture media for biotherapeutics, improving yield and robustness. Inline buffer preparation systems reduce costs and increase efficiency in biomanufacturing. Automation in mRNA synthesis, deploying fed-batch processes modeled via mathematical simulations, promises reduced manufacturing costs and enhanced process control. These advances collectively accelerate drug discovery timelines, reduce resource consumption, and improve scalability.