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Peer-reviewedCC BYChemical research in toxicology

Exploring Avenues of Predicting Drug-Induced Liver Injury.

  • Don Pivithuru Liyanarachchi1
  1. 1University of Missouri Department of Chemistry, 125 Chemistry BuildingColumbia, Missouri65211, United States.
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Abstract

Drug induced liver injury prediction is advancing through mechanistic modeling, patient-derived systems, and emerging immune-based biomarkers. Integrating these approaches improves drug safety and reduces development failures.

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Cite

BibTeXRIS
BibTeX
@article{liyanarachchi2026exploring,
  title = {{Exploring Avenues of Predicting Drug-Induced Liver Injury.}},
  author = {Don Pivithuru Liyanarachchi},
  journal = {Chemical research in toxicology},
  year = {2026},
  month = sep,
  doi = {10.1021/acs.chemrestox.6c00145},
  url = {https://europepmc.org/article/MED/42915727},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Exploring Avenues of Predicting Drug-Induced Liver Injury.
AU  - Don Pivithuru Liyanarachchi
PY  - 2026
DA  - 2026/09/01
JO  - Chemical research in toxicology
DO  - 10.1021/acs.chemrestox.6c00145
UR  - https://europepmc.org/article/MED/42915727
AB  - Drug induced liver injury prediction is advancing through mechanistic modeling, patient-derived systems, and emerging immune-based biomarkers. Integrating these approaches improves drug safety and reduces development failures.
SN  - 0893-228X
SN  - 1520-5010
ER  -