Biography and Research Information
OverviewAI-generated summary
Tsung‐Jen Liao's research focuses on understanding the mechanisms and genetic factors underlying drug-induced liver injury (DILI). His work utilizes computational approaches, including quantitative structure-activity relationship (QSAR) modeling and machine learning, to predict hepatotoxicity and identify risk factors for DILI. Liao has investigated the role of genetic variations, such as single-nucleotide polymorphisms (SNPs) in HLA class II genes and GBP4, in influencing transplant-free survival and susceptibility to acute liver failure. His studies also examine drug interactions with UDP-Glucuronosyltransferase (UGT) enzymes as predictors of DILI. Additionally, Liao has analyzed medical device reports to understand adverse events and sex-based differential effects. His scholarship metrics include an h-index of 4 with 30 citations across 9 publications.
Metrics
- h-index: 8
- Publications: 23
- Citations: 300
Selected Publications
-
Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis (2025)
-
Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population (2025)
-
Drug interaction with UDP-Glucuronosyltransferase (UGT) enzymes is a predictor of drug-induced liver injury (2024)
-
Medical device report analyses from MAUDE: Device and patient outcomes, adverse events, and sex-based differential effects (2024)
-
QSAR modeling for predicting drug-induced liver injury (2023)
-
DILIrank dataset for QSAR modeling of drug-induced liver injury (2023)
-
Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals (2023)
-
Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure (2022)
-
Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury (2021)
Collaboration Network
Top Collaborators
Minjun Chen
9 shared publications
In database
- Drug interaction with UDP-Glucuronosyltransferase (UGT) enzymes is a predictor of drug-induced liver injury
- Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury
- Medical device report analyses from MAUDE: Device and patient outcomes, adverse events, and sex-based differential effects
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
Showing 5 of 9 shared publications
Huixiao Hong
National Center for Toxicological Research
3 shared publications
In database
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
- DILIrank dataset for QSAR modeling of drug-induced liver injury
Jody A. Rule
3 shared publications
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
- Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
William M. Lee
3 shared publications
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
- Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
Kristin Ashby
National Center for Toxicological Research
2 shared publications
In database
- Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
Paul H. Hayashi
Center for Drug Evaluation and Research (US)
2 shared publications
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
Jorge Rakela
Mayo Clinic in Florida (US)
2 shared publications
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
Weida Tong
United States Food and Drug Administration (US)
2 shared publications
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
- DILIrank dataset for QSAR modeling of drug-induced liver injury
Baitang Ning
2 shared publications
- DILIrank dataset for QSAR modeling of drug-induced liver injury
- Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
Menghang Xia
2 shared publications
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
- Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
R. E. Moore
National Center for Toxicological Research
1 shared publication
In database
- Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury
Bohu Pan
United States Food and Drug Administration
1 shared publication
In database
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
Daniel Ganger
Northwestern University (US)
1 shared publication
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
Jie Liu
United States Food and Drug Administration
1 shared publication
In database
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
Yue Wu
National Center for Toxicological Research (US)
1 shared publication
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
Similar Researchers
Based on overlapping research topics
Kristin Ashby
National Center for Toxicological Research
Drug-Induced Hepatotoxicity and Protection
Metabolism and Genetic Disorders
Bioinformatics and Genomic Networks
Madison Blue
University of Arkansas for Medical Sciences
Drug-Induced Hepatotoxicity and Protection
Metabolism and Genetic Disorders
Liver Disease Diagnosis and Treatment
Jade N. Hess
National Center for Toxicological Research
Drug-Induced Hepatotoxicity and Protection
Metabolism and Genetic Disorders
Pharmacological Effects and Toxicity Studies
R. E. Moore
National Center for Toxicological Research
Metabolism and Genetic Disorders
Bioinformatics and Genomic Networks
Liver Disease Diagnosis and Treatment
Mitchell R. McGill
University of Arkansas for Medical Sciences
Drug-Induced Hepatotoxicity and Protection
Metabolism and Genetic Disorders
Liver Disease Diagnosis and Treatment
J. Guimbellot
University of Arkansas for Medical Sciences
Metabolism and Genetic Disorders
Bioinformatics and Genomic Networks
Machine Learning Applications