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This webinar explored how ๐—ผ๐—บ๐—ถ๐—ฐ๐˜€ ๐—ฏ๐—ถ๐—ผ๐—ฎ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ถ๐˜๐˜† ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฐ๐—ฎ๐—ป ๐—ฏ๐—ฒ ๐˜‚๐˜€๐—ฒ๐—ฑ ๐˜๐—ผ ๐—ถ๐—ป๐—ฐ๐—ฟ๐—ฒ๐—ฎ๐˜€๐—ฒ ๐—ฐ๐—ผ๐—ป๐—ณ๐—ถ๐—ฑ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ถ๐—ป ๐—ฐ๐—ต๐—ฒ๐—บ๐—ถ๐—ฐ๐—ฎ๐—น ๐—ด๐—ฟ๐—ผ๐˜‚๐—ฝ๐—ถ๐—ป๐—ด. It included both ๐—ฟ๐—ฒ๐—ด๐˜‚๐—น๐—ฎ๐˜๐—ผ๐—ฟ๐˜† ๐—ฎ๐—ป๐—ฑ ๐—ถ๐—ป๐—ฑ๐˜‚๐˜€๐˜๐—ฟ๐˜† ๐—ฝ๐—ฒ๐—ฟ๐˜€๐—ฝ๐—ฒ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ๐˜€, highlighting the importance of grouping to support read-across and to enable a reduction in animal testing.

The session featured ๐˜€๐—ฒ๐˜ƒ๐—ฒ๐—ฟ๐—ฎ๐—น ๐—ฐ๐—ฎ๐˜€๐—ฒ ๐˜€๐˜๐˜‚๐—ฑ๐—ถ๐—ฒ๐˜€ ๐—ฑ๐—ฒ๐—บ๐—ผ๐—ป๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฎ๐—ฝ๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ผ๐—ณ ๐—บ๐—ฒ๐˜๐—ฎ๐—ฏ๐—ผ๐—น๐—ผ๐—บ๐—ถ๐—ฐ๐˜€ and transcriptomics data in chemical grouping, and ๐—ถ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐—ฒ๐—ฑ ๐˜€๐—ผ๐—บ๐—ฒ ๐—ด๐˜‚๐—ถ๐—ฑ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ฑ๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฑ ๐—ฏ๐˜† ๐˜๐—ต๐—ฒ ๐—ข๐—˜๐—–๐—— ๐˜๐—ผ ๐—ฟ๐—ฒ๐—ฝ๐—ผ๐—ฟ๐˜ ๐—ผ๐—บ๐—ถ๐—ฐ๐˜€ ๐˜€๐˜๐˜‚๐—ฑ๐—ถ๐—ฒ๐˜€.

Finally, a case study was presented that expands beyond the primary use of metabolomics, here being used to discover chemical biotransformation products which can then be used to support chemical grouping based on metabolic similarity.

Thank you to everyone who contributed to this webinar Mark Viant, Thomas Lawson, Tomasz Sobaล„ski, Francesca Trivelloni, Anthony Reardon

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