Kevin Smith

This study uses deep learning on Cell Painting data to predict compound bioactivity, improving hit rates and diversity in high-throughput screening.

The paper introduces a deep learning framework for nucleus segmentation that uses image style transfer to adapt to new data without expert annotations, outperforming existing methods on diverse microscopy images.