ExploringAvenues of Predicting Drug-Induced LiverInjury

Don Pivithuru Liyanarachchi

doi:10.1021/acs.chemrestox.6c00145

August 17, 2026Chemical Research in ToxicologyOpen Access

ExploringAvenues of Predicting Drug-Induced LiverInjury

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Key Points

To outline and assess emerging predictive strategies for drug-induced liver injury to enhance therapeutic safety and reduce development attrition.
Evaluated mechanistic computational modeling alongside patient-derived experimental systems for toxicity screening.
Examined the utility of novel immune-based biomarkers in detecting hepatotoxic risk.
Integrating mechanistic models with patient-derived systems improves the identification of hepatotoxic compounds prior to clinical testing.
Incorporating immune-based biomarkers enhances drug safety profiles and reduces clinical development failure rates.

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Implication

Review demonstrates predictive frameworks for drug-induced liver injury in preclinical testing, highlighting enhanced drug safety and reduced attrition.

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 This Study

Don Pivithuru Liyanarachchi (2026) studied this question.

synapsesocial.com/papers/6a85640f03308d306e2d795e https://doi.org/10.1021/acs.chemrestox.6c00145

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ExploringAvenues of Predicting Drug-Induced LiverInjury

Key Points

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Implication

Abstract

Discussion

Cite This Study

ExploringAvenues of Predicting Drug-Induced LiverInjury

Key Points

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Implication

Abstract

Discussion

Cite This Study

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