Using machine learning to streamline drug production

I’ve written a number of times recently about the prospects for automation and AI to enhance the research and development of new medicines, whether it’s in supporting more effective research, testing for side effects or in the production of drugs themselves.

A recent paper examines this in more detail, with a specific look at how chemical engineers mass produce the chemical compound itself.  There can often be 100s of different sequences of reactions that produce the same end result, but some will use cheap reagents than others.  Equally, some are easier to run continuously.

Efficient drug production

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