Thakkar, Shraddha
United States Food and Drug Administration · Center for Drug Evaluation and Research
6 papers on CoChatORCID 0000-0002-2920-7713
Most cited papers
- Verified
DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans
Chen, M., Suzuki, A., Thakkar, S., Yu, K., Hu, C., & Tong, W. (2016) · Drug Discovery Today
Drug-Induced Hepatotoxicity and ProtectionComputational Drug Discovery Methods
Cited by 398
- Verified
Drug-induced liver injury severity and toxicity (DILIst): binary classification of 1279 drugs by human hepatotoxicity
Thakkar, S., Li, T., Liu, Z., Wu, L., Roberts, R., & Tong, W. (2020) · Drug Discovery Today
Drug-Induced Hepatotoxicity and ProtectionComputational Drug Discovery Methods
Cited by 140
- Verified
Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA
Wu, L., Ingle, T., Liu, Z., Zhao-Wong, A., Harris, S., Thakkar, S., Zhou, G., Yang, J., Xu, J., Mehta, D., et al. (2019) · BMC Bioinformatics
Pharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies
Cited by 80
- Verified
FDALabel for drug repurposing studies and beyond
Fang, H., Harris, S., Liu, Z., Thakkar, S., Yang, J., Ingle, T., Xu, J., Lesko, L., Rosario, L., & Tong, W. (2020) · Nature Biotechnology
Computational Drug Discovery MethodsPharmacovigilance and Adverse Drug Reactions
Cited by 19
- Verified
A framework enabling LLMs into regulatory environment for transparency and trustworthiness and its application to drug labeling document
Wu, L., Xu, J., Thakkar, S., Gray, M., Qu, Y., Li, D., & Tong, W. (2024) · Regulatory Toxicology and Pharmacology
Topic ModelingArtificial Intelligence in Healthcare and Education
Cited by 16
- Verified
Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost
Chen, M., Wu, Y., Wingerd, B., Liu, Z., Xu, J., Thakkar, S., Pedersen, T. J., Donnelly, T., Mann, N., Tong, W., et al. (2024) · Frontiers in Artificial Intelligence
Pharmacovigilance and Adverse Drug ReactionsText and Document Classification Technologies
Cited by 8
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