Our poster titled “Towards Automated Deep Learning Classification of Phase-contrast images from High-throughput Screening Assays” was selected as a Top 10 Abstracts at the Society of Toxicology’s 61st Annual Meeting, in the Computational Toxicology Specialty Section (CTSS). The poster highlights Sciome’s work in partnership with the National Institute of Environmental Health Sciences (NIEHS), National Toxicology Program (NTP), to develop automated approaches to accurately classifying high-throughput toxicology screening assay images. To learn more about this work, see our recent publication in SLAS Discovery.
It was an honor to be selected among the top 10 CTSS abstracts this year!
