Agnès Zettor

Deep learning extracts MoA-specific signatures from high-throughput images of chemically and genetically perturbed Corynebacteria

This paper develops a deep learning model to identify drug modes of action from high-throughput images of chemically and genetically perturbed Corynebacteria.

Deep learning recognises antibiotic modes of action from brightfield images

This paper uses deep learning to identify antibiotic modes of action from brightfield images without fluorescent labeling, achieving high accuracy in detecting drug exposure and novel mechanisms.

Large scale active-learning-guided exploration to maximize cell-free production

The paper uses active learning to explore a large combinatorial space of cell-free compositions to maximize protein production and identify critical parameters.