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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

New paper: a deep learning model that reads MICs from images of 96 well plates

Philip Fowler, 26th May 20251st July 2025

Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations (MICs) from a photograph of the 96-well plate after two weeks incubation has been published in the Computational and Structural Biology Journal. You can get the model, which is called TMAS, on GitHub here and there is a longer description here.

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