What is the story about?
What's Happening?
Researchers have developed a machine learning platform called 'Fentanyl-Hunter' to screen for opioid metabolites in biological and environmental samples. The platform identified 27 previously unknown metabolites of fentanyl compounds in human liver cells and two in patient urine samples. It also found biomarkers in over 250 samples from eight countries. The platform uses a machine learning classifier and multilayer molecular network to select and annotate fentanyl compounds using mass spectrometry.
Why It's Important?
The development of Fentanyl-Hunter addresses the challenge of detecting new and emergent fentanyl analogs, which pose significant risks to public health and safety. The platform's ability to identify previously unknown metabolites and biomarkers is crucial for assessing drug abuse, toxicity, and metabolism. This innovation has applications in forensic science, environmental monitoring, and law enforcement, providing a robust tool for detecting and regulating fentanyl variants and metabolites.
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