Exposomics Reveals Differential Exposures And Chemical Subgroups
ow can researchers identify which environmental chemicals differ between patient groups? How do they distinguish environmental exposures from naturally occurring metabolites? And how can machine learning uncover exposure patterns that researchers may not have anticipated?
In this episode of ChatGJP, Ethan Stancliffe, Senior Director of R&D at Panome Bio, explains how advanced exposomics analysis can answer these questions. He discusses how differential exposure analysis compares chemical profiles between groups, how curated databases and chemical signatures help distinguish endogenous metabolites from exogenous compounds, and how unsupervised clustering can reveal previously unidentified patterns within complex exposure data.
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