Dustyn A. Barnette Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Postdoctoral Fellow

Last publication 2024 Last refreshed 2026-04-04

postdoc

11 h-index 15 pubs 276 cited

Biography and Research Information

OverviewAI-generated summary

Dustyn A. Barnette's research focuses on understanding drug-induced liver injury and toxicity, utilizing advanced methodologies and large datasets. Barnette has investigated the use of machine learning to identify potential drug interactions that could lead to liver injury, particularly between non-steroidal anti-inflammatory drugs (NSAIDs) and other medications, by analyzing retrospective electronic health record (EHR) data. Further research has explored the application of MALDI imaging mass spectrometry as a tool for identifying markers of toxicity, including in studies of in utero opioid exposures in mouse fetuses. Barnette also works on developing and utilizing in vitro models, such as co-cultures of human liver cells in liver-chip devices, to study drug-induced liver injury. This work contributes to the broader understanding of drug metabolism and potential adverse effects.

Metrics

  • h-index: 11
  • Publications: 15
  • Citations: 276

Selected Publications

  • The incorporation of MALDI mass spectrometry imaging in studies to identify markers of toxicity following in utero opioid exposures in mouse fetuses (2024)
    1 citation DOI OpenAlex
  • Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury (2022)
    31 citations DOI OpenAlex
  • Discovery of Novel Reductive Elimination Pathway for 10-Hydroxywarfarin (2022)
    1 citation DOI OpenAlex
  • MALDI imaging mass spectrometry: an emerging tool in neurology (2021)
    38 citations DOI OpenAlex
  • Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort (2021)
    44 citations DOI OpenAlex

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Collaboration Network

30 Collaborators 8 Institutions 1 Country

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