AIMC Journal:
Journal of analytical toxicology

Showing 1 to 3 of 3 articles

Applications of machine learning for the general unknown screening of HRMS data within forensic toxicology.

Journal of analytical toxicology
This review is intended for forensic toxicologists and cheminformaticians seeking an understanding of the past implementations and future directions of artificial intelligence (AI) and machine learning (ML) for high-resolution mass spectrometry (HRMS...

In silico metabolite prediction and LC-HRMS confirmation for forensic analysis of a fatal case involving novel synthetic opioid N, N-dimethyl etonitazene.

Journal of analytical toxicology
Nitazenes are a class of new psychoactive substances (NPS) belonging to the synthetic opioids. It has potent μ-opioid receptor agonist activity. In this study, we investigated an authentic forensic human blood and urine sample from an individual that...