Field report
Machine learning strain design, explained: what ML4SD does, and what has actually been proven
A preprint reports needing 2.5 to 7.1 times fewer designs to engineer a production strain with machine learning. We read it in full plus 40 other primary sources. The saving is in simulated designs: no strain was built. What machine learning has done with real lab data, and where the models break.
