Machine learning predicts electrospray ionization response for semi-quantitative lipidomics

In a paper published in the Journal of Chemical Information and Modeling (2025), the lab developed machine-learning models to predict electrospray ionization (ESI) sensitivity, an important and historically difficult factor in making lipidomics measurements more quantitative.

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