Search Results - "Tong, Weida"

DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans by Chen, Minjun, Suzuki, Ayako, Thakkar, Shraddha, Yu, Ke, Hu, Chuchu, Tong, Weida

“…•DILIrank contains the largest number of drugs (N=1036) ranked by their risk for causing DILI.•The existing drug labeling-based DILI annotation was enhanced by…”
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Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs by Hong, Huixiao, Thakkar, Shraddha, Chen, Minjun, Tong, Weida

“…Drug-induced liver injury (DILI) presents a significant challenge to drug development and regulatory science. The FDA’s Liver Toxicity Knowledge Base (LTKB)…”
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Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods by Guo, Wenjing, Pan, Bohu, Sakkiah, Sugunadevi, Yavas, Gokhan, Ge, Weigong, Zou, Wen, Tong, Weida, Hong, Huixiao

“…Persistent organic pollutants (POPs) present in foods have been a major concern for food safety due to their persistence and toxic effects. To ensure food…”
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A Model to predict severity of drug‐induced liver injury in humans by Chen, Minjun, Borlak, Jürgen, Tong, Weida

“…Drug‐induced liver injury (DILI) is a major public health concern, and improving its prediction remains an unmet challenge. Recently, we reported the Rule‐of‐2…”
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A generative adversarial network model alternative to animal studies for clinical pathology assessment by Chen, Xi, Roberts, Ruth, Liu, Zhichao, Tong, Weida

“…Animal studies are unavoidable in evaluating chemical and drug safety. Generative Adversarial Networks (GANs) can generate synthetic animal data by learning…”
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Drug-induced liver injury severity and toxicity (DILIst): binary classification of 1279 drugs by human hepatotoxicity by Thakkar, Shraddha, Li, Ting, Liu, Zhichao, Wu, Leihong, Roberts, Ruth, Tong, Weida

“…[Display omitted] •This drug list provides access to the largest number of drugs classified for human hepatotoxicity.•DILIst (DILI severity and toxicity) is…”
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FDA-approved drug labeling for the study of drug-induced liver injury by Chen, Minjun, Vijay, Vikrant, Shi, Qiang, Liu, Zhichao, Fang, Hong, Tong, Weida

“…Drug-induced liver injury (DILI) is a leading cause of drugs failing during clinical trials and being withdrawn from the market. Comparative analysis of drugs…”
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A decade of toxicogenomic research and its contribution to toxicological science by Chen, Minjun, Zhang, Min, Borlak, Jürgen, Tong, Weida

“…Toxicogenomics enjoyed considerable attention as a ground-breaking addition to conventional toxicology assays at its inception. However, the pace at which…”
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Five-Feature Model for Developing the Classifier for Synergistic vs. Antagonistic Drug Combinations Built by XGBoost by Ji, Xiangjun, Tong, Weida, Liu, Zhichao, Shi, Tieliu

“…Combinatorial drug therapy can improve the therapeutic effect and reduce the corresponding adverse events. strategies to classify synergistic vs. antagonistic…”
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Towards accurate and reliable resolution of structural variants for clinical diagnosis by Liu, Zhichao, Roberts, Ruth, Mercer, Timothy R, Xu, Joshua, Sedlazeck, Fritz J, Tong, Weida

“…Structural variants (SVs) are a major source of human genetic diversity and have been associated with different diseases and phenotypes. The detection of SVs…”
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Computational drug repositioning for rare diseases in the era of precision medicine by Delavan, Brian, Roberts, Ruth, Huang, Ruili, Bao, Wenjun, Tong, Weida, Liu, Zhichao

“…•Next-generation sequencing technology accelerates rare disease research.•Accumulated genomics information aids orphan drug development.•Novel drug…”
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Application of dynamic topic models to toxicogenomics data by Lee, Mikyung, Liu, Zhichao, Huang, Ruili, Tong, Weida

“…All biological processes are inherently dynamic. Biological systems evolve transiently or sustainably according to sequential time points after perturbation by…”
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Best practice and reproducible science are required to advance artificial intelligence in real-world applications by Liu, Zhichao, Li, Ting, Connor, Skylar, Thakkar, Shraddha, Roberts, Ruth, Tong, Weida

“…Abstract Drug-induced liver injury (DILI) is one of the most significant concerns in medical practice but yet it still cannot be fully recapitulated with…”
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High daily dose and being a substrate of cytochrome P450 enzymes are two important predictors of drug-induced liver injury by Yu, Ke, Geng, Xingchao, Chen, Minjun, Zhang, Jie, Wang, Bingshun, Ilic, Katarina, Tong, Weida

“…Drug-induced liver injury (DILI) is complicated and difficult to predict. It has been observed that drugs with extensive hepatic metabolism have a higher…”
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The landscape of hepatobiliary adverse reactions across 53 herbal and dietary supplements reveals immune-mediated injury as a common cause of hepatitis by Zhu, Jieqiang, Chen, Minjun, Borlak, Jürgen, Tong, Weida

“…Recent evidence suggests herbal-induced liver injury (HILI) to account for 20% of cases among the U.S. Drug-Induced-Liver-Injury-Network. To define injury…”
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Associations of Drug Lipophilicity and Extent of Metabolism with Drug-Induced Liver Injury by McEuen, Kristin, Borlak, Jürgen, Tong, Weida, Chen, Minjun

“…Drug-induced liver injury (DILI), although rare, is a frequent cause of adverse drug reactions resulting in warnings and withdrawals of numerous medications…”
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FDALabel for drug repurposing studies and beyond by Fang, Hong, Harris, Stephen, Liu, Zhichao, Thakkar, Shraddha, Yang, Junshuang, Ingle, Taylor, Xu, Joshua, Lesko, Lawrence, Rosario, Lilliam, Tong, Weida

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Comparing SVM and ANN based Machine Learning Methods for Species Identification of Food Contaminating Beetles by Bisgin, Halil, Bera, Tanmay, Ding, Hongjian, Semey, Howard G., Wu, Leihong, Liu, Zhichao, Barnes, Amy E., Langley, Darryl A., Pava-Ripoll, Monica, Vyas, Himansu J., Tong, Weida, Xu, Joshua

“…Insect pests, such as pantry beetles, are often associated with food contaminations and public health risks. Machine learning has the potential to provide a…”
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NeuroCORD: A Language Model to Facilitate COVID-19-Associated Neurological Disorder Studies by Wu, Leihong, Ali, Syed, Ali, Heather, Brock, Tyrone, Xu, Joshua, Tong, Weida

“…COVID-19 can lead to multiple severe outcomes including neurological and psychological impacts. However, it is challenging to manually scan hundreds of…”
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Machine Learning for Predicting Risk of Drug-Induced Autoimmune Diseases by Structural Alerts and Daily Dose by Wu, Yue, Zhu, Jieqiang, Fu, Peter, Tong, Weida, Hong, Huixiao, Chen, Minjun

“…An effective approach for assessing a drug’s potential to induce autoimmune diseases (ADs) is needed in drug development. Here, we aim to develop a workflow to…”
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