A novel system for rapidly identifying toxic chemicals
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Updated: Jun 28, 2026

A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
Published on: March 14, 2019
Suresh K Bhavnani1, Arun Ganesan, Clayton Scott
1Center for Computational Medicine & Biology, Medical School, Michigan Institute for Clinical & Health Research, Electrical Engineering & Computer Science Department, University of Michigan, Ann Arbor, MI, USA.
Abstract:
First-responders have a critical need to rapidly identify toxic chemicals during emergencies. However, current systems such as WISER require a large number of inputs before a chemical can be identified. Here we present a novel system which significantly reduces the number of inputs required to identify a toxic chemical.
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