AI Article Synopsis

  • * LC-MS platforms are continually evolving to enhance the accuracy and efficiency of drug analysis, while better reagents and bio-matrices are improving the relevance of sample processing.
  • * The integration of modern software, ML, and AI with traditional methods is deepening our understanding of bioactivation pathways, which is crucial for developing better medicines for patients with urgent health needs.

Article Abstract

With the 50th year mark since the launch of journal, the field of drug metabolism and bioactivation has advanced exponentially in the past decades (Guengerich 2023).This has, in a major part, been due to the continued advances across the whole spectrum of applied technologies in hardware, software, machine learning (ML), and artificial intelligence (AI). LC-MS platforms continue to evolve to support key applications in the field, and automation is also improving the accuracy, precision, and throughput of these supporting assays. In addition, sample generation and processing is being aided by increased diversity and quality of reagents and bio-matrices so that what is being analyzed is more relevant and translatable. The application of platforms (applied software, ML, and AI) is also making great strides, and in tandem with the more traditional approaches mentioned previously, is significantly advancing our understanding of bioactivation pathways and how these play a role in toxicity. All of this continues to allow the area of bioactivation to evolve in parallel with associated fields to help bring novel or improved medicines to patients with urgent or unmet needs.Shuai Wang and Cyrus Khojasteh, on behalf of the authors.

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Source
http://dx.doi.org/10.1080/03602532.2023.2244193DOI Listing

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