Papers citing Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives
Part II. Systematic development of machine learning models for predicting human and ecotoxicity from in vivo OECD test guideline data
Computational Toxicology · 2025
Donghyeon Kim, Jiyong Jeong, Siyeol Ahn, Jinhee Choi
Read original paper ↗ ·CBERTaXGB: A domain-specific transformer-XGBoost hybrid for chemical toxicity and flammability prediction
Process Safety and Environmental Protection · 2025
Kunsen Lin, Boyang Liao, Xiaochuan Chen, Bohao Xu, Miaoya Jiang, Xuefei Zhou
Read original paper ↗ ·Part I. Systematic development of machine learning models for predicting mechanism-based toxicity from in vitro ToxCast bioassay data
Computational Toxicology · 2025
Donghyeon Kim, Siyeol Ahn, Jiyong Jeong, Jinhee Choi
Read original paper ↗ ·AI-powered image standardization in microphysiological system platforms
JMST Advances · 2025
Wooju Park, Chaerin Kim, Jihoon Ko
Read original paper ↗ ·Optimized Random Forest Regression for Predictive Modeling of Environmental Correlation Metrics in Typhoon Data
International Conference on Sustainable Computing and Smart Systems (ICSCSS) · 2025
Epifelward Niño O. Amora, Jose C. Agoylo, Jorton A. Tagud, Jimson A. Olaybar, Patrick D. Cerna
Read original paper ↗ ·Integrating Experimental Toxicology and Machine Learning to Model Levonorgestrel-Induced Oxidative Damage in Zebrafish
Toxics · 2025
İlknur Meriç, Melek Yapıcı, Dilara Gerdan Koc
Read original paper ↗ ·Interpretable machine learning models for predicting hormesis of binary antibiotic mixtures on Vibrio qinghaiensis sp.-Q67
Journal of Hazardous Materials · 2025
Lingyun Mo, Si-Tong Long, Peipei Zhang, Yanpeng Liang, Honghu Zeng, Yonghong Zhang, Li‐Tang Qin
Read original paper ↗ ·Basics of machine learning and artificial intelligence methods in toxicology and environmental health
Elsevier eBooks · 2025
Wei‐Chun Chou, Weitao Chen, Kunpeng Chen
Read original paper ↗ ·From data to decisions: Leveraging machine learning and artificial intelligence methods for human health risk assessment of environmental pollutants
Elsevier eBooks · 2025
Chi‐Yun Chen, Zhoumeng Lin
Read original paper ↗ ·Multiscale-Information-Embedded Universal Toxicity Prediction Framework
Environmental Science & Technology · 2025
Lianlian Wu, Fanmeng Wang, Yixin Zhang, Ruijiang Li, Yanpeng Zhao, Hongteng Xu, Zhifeng Gao, Song He, Xiaochen Bo
Read original paper ↗ ·Deep learning advances high-throughput toxicity screening of chemicals at multi-biological levels
Journal of Environmental Sciences · 2025
Xinyue Wu, Ya Zhu, Jie Hou, Jianying Zhang, Xu Jiang, Daohui Lin
Read original paper ↗ ·Implementation of machine learning models bridges the prognostic gap in Aluminum Phosphide poisoning
Egyptian Journal of Forensic Sciences · 2025
Asmaa S. El-Banna, Hisham Elsayed Ragab, Reem Rohiem, Ahmed Mohamed Saleh, Marwa Kholief
Read original paper ↗ ·Enhancing Hansen Solubility Predictions: A Combined Approach Using Integrated Datasets and Optimized Machine Learning Techniques
Key engineering materials · 2025
Konstantina Pantelidou, Stavros Devrelis, Antonios X. Lalas, Konstantinos Votis, Dimitrios K. Tzovaras
Read original paper ↗ ·Large-scale chemical language models for accurate and interpretable prediction of reactivity and toxicity
Process Safety and Environmental Protection · 2025
Zhi Tao Huang, Yu Peng Jiang, Jiang Yu, Wei He, Jie Yu, Jie Yu, Siwei Deng, Yinying Jiang, Chun Yang, Weiwei Zhu, Yi Wu, Xiufeng Liu
Read original paper ↗ ·Radical-Net: A chemistry-enhanced transformer for elementary radical reactions in pollutant chemistry
Journal of Hazardous Materials · 2025
Zhi Tao Huang, Jiang Yu, Jiang Yu, Wei He, Peng Huang, Siwei Deng, Hongbin Jiang, Jie Yu, Jie Yu, Chun Yang, Cheng Han, Yinying Jiang, Weiwei Zhu, Yucheng Liu
Read original paper ↗ ·Network toxicology, machine learning combined with experimental validation: Rutin ameliorates NAFLD and prevents BHA-induced hepatotoxicity via Casp3 suppression
Letters in Drug Design & Discovery · 2025
Zhenting Wu, Jiye Zhang, Shiru Chen, Hang Zhou, Ying Liu
Read original paper ↗ ·Big data integration for environmental risk assessment of emerging contaminants
Nature Sustainability · 2025
Hanlin Cui, Shu-Hong Gao, Hong‐Cheng Wang, Liying Zhang, Yi Luo, Guang‐Guo Ying, Weiling Sun, Yunjiang Yu, Bin Liang, Ai-Jie Wang
Read original paper ↗ ·Toward Sustainable Liquid Crystal Displays: A Green Prioritization Framework for Liquid Crystal Monomers Integrating Risk Assessment, Mechanistic Insights, and Regulatory Strategies
ACS Sustainable Chemistry & Engineering · 2025
Jiatong Li, Jiapeng Liu, Ning Hao, Wenjin Zhao, Yuanyuan Zhao
Read original paper ↗ ·Artificial intelligence-driven environmental toxicology: Emerging strategies for microplastics risk assessment
Gondwana Research · 2025
Zeliang Su, Luyi Zhang, Kai Chen, Linyong Zhi, Xiaoping Huan, Fang Chen, Xu Wang, Jun Wang
Read original paper ↗ ·Integrating Single‐Cell Sequencing, Machine Learning, and Molecular Docking to Elucidate the Molecular Network Linking Myocardial Infarction and DEHP Exposure
Journal of Biochemical and Molecular Toxicology · 2025
Qianchen Wang, Jiejie Wu, Shaoyu Qi, Jingwen Zhang, Yang Liu
Read original paper ↗ ·Application of artificial intelligence/machine learning in modeling chemical toxicity and ecotoxicity
Elsevier eBooks · 2026
Gül Karaduman, Feyza Kelleci̇ Çeli̇k
Read original paper ↗ ·Enhancing Water Resources Management: The Transformative Role of Artificial Intelligence in Modeling Trace and Emerging Contaminants
Springer hydrogeology · 2026
Johnbosco C. Egbueri, Arun Pratap Mishra, Sani Isah Abba, Abdullahi G. Usman, Henry C. Uwajingba, Johnson C. Agbasi
Read original paper ↗ ·Some Degree‐Based Topological Indices Associated With Line Graphs of Backbone Deoxyribonucleic Acid Networks: A Polynomial Function Approximation
Journal of Mathematics · 2026
Mohammad Mazyad Hazzazi, Hafiz Muhammad Bilal, Muhammad Nadeem, Kiran Naz, Arooj Murtaza, Abdu Alameri
Read original paper ↗ ·Reflective diagnostics: A self-learning CRISPR–biosensor–AI platform for adaptive food and health safety monitoring
Food and Humanity · 2026
Jacob Tizhe Liberty
Read original paper ↗ ·In Silico Hazard Assessment of Ototoxicants Through Machine Learning and Computational Systems Biology
Toxics · 2026
Shu Luan, Chao Ji, Gregory M. Zarus, Christopher M. Reh, Patricia Ruiz
Read original paper ↗ ·Using Machine Learning to Predict First-Order Reaction Rate Constants of PFAS Degradation
Bulletin of Environmental Contamination and Toxicology · 2026
Chenhao Pei, Yifan Qian, Jie Shen, Naichi Zhang, Qi Liu, Zhiqiang Li, Shuailei Pu, Tongliang Wu, Yujun Wang, Cun Liu
Read original paper ↗ ·Predicting ecological risks of heavy metals in watersheds based on interpretable machine learning models: under the framework of data scarcity
Environmental Monitoring and Assessment · 2026
Hong Chen, Meiling Kong, Zhenghua Wu, Liu Gong, Lanlan Huang, Yihan Li, Fazhi Xie
Read original paper ↗ ·Recent Advances in Deep Learning-Based Toxicity Prediction of Emerging Organic Pollutants in Freshwater Ecosystems
Current Pollution Reports · 2026
Tani Kankpiabe, Haoyu Wu, Yu Hong
Read original paper ↗ ·Advancing metal organic frameworks screening and remediation condition optimization for removing persistent organic pollutant via integrated machine learning and theoretical calculation insights
Journal of Colloid and Interface Science · 2026
Zhengwen Wei, Sicheng Jing, Xiang‐fei Lü, Wei Wang, Giuseppe Mele, Kangze Yuan, Wankui Ni, Zhenyi Jiang, Yajie Guo
Read original paper ↗ ·A decision-support framework for early-stage screening of sustainable and degradable plastics in a circular economy
Resources Conservation and Recycling · 2026
Linxiang Lyu, Nektaria Markoglou, Monisha Bagchi, Shuyan Wan, Huifang Bi, Xiaohan Yang, Ziyu Wang, Zhikun Chen, Chunjiang An
Read original paper ↗ ·Framing Effects in Personalized In-Vehicle Freeway Traffic Messaging: A HUD-Based Approach
Electronics · 2026
Yuexi Liu, Song Wang, Yi Wang, Zhixia Li, Shiyao Zhang
Read original paper ↗ ·Comparative Evaluation of Deep Learning Graph Neural Networks and Classical Machine Learning Models for Predicting Heats of Combustion as a Key Hazard Indicator under GHS/CLP Standards
ACS Omega · 2026
Osita Sunday Nnyigide, Haewon Byeon, Uchenna Esther Okpete
Read original paper ↗ ·Predictive Efficacy of Classification and Regression Models for Tissue-Residue Toxicity of Brominated Flame Retardants in Different Fish Species
ACS ES&T Water · 2026
Rui Wang, Xiaolei Wang, Xiaoli Zhao, Jiayu Wang, Yihua Liang, Qingyuan Cao, Fengchang Wu
Read original paper ↗ ·MACHINE LEARNING APPLICATIONS IN TOXICOLOGY: CURRENT APPROACHES AND FUTURE PERSPECTIVES
Ankara Universitesi Eczacilik Fakultesi Dergisi · 2026
Selinay Yaşar, Rumeysa Çetin, Merve Becit Kızılkaya
Read original paper ↗ ·Next generation risk assessment and new approach methodologies for sustainable management of heavy metal contaminated environments: A critical review
Environmental Pollution · 2026
Prince Kumar Singh, Indrajeet Kumar, Umesh Kumar, Rahul Prasad Singh, Ram Sharan Singh, Rajesh Kumar Sharma
Read original paper ↗ ·Leveraging Artificial Intelligence in Allergy, Asthma, and Immunology With Environmental Exposures
Allergy · 2026
Thinh H. Nguyen, Cezmi A. Akdiş, Andrea Baccarelli, Sudipto Banerjee, Rohan Tan Bhowmik, Brent A. Coull, Marissa L. Childs, Luigi Cao Pinna, Christopher De Weir Golden, Thomas Härtung, Benjamin Q. Huynh, Abhinav Kaushik, Oladimeji Ezekiel Mudele, Wanda Phipatanakul, Chirag J. Patel, Bernardo Sousa‐Pinto, John Quackenbush, Vanitha Sampath, Jaime Toney, Meiliu Wu, MA Williams, Marsha A. Wills-Karp, Mohamed H. Shamji, Kari Christine Nadeau
Read original paper ↗ ·ToxiSpecies: Task-Aware Meta-Learning for Cross-Species Modeling of Acute Chemical Toxicity under Distribution Shift
Journal of Chemical Information and Modeling · 2026
Caiyun Zhao, Jing Wang, Xiaochen Bo, Song He
Read original paper ↗ ·Integrative network toxicology and single-cell analysis implicates a potential TGFBR1-centered fibroblast remodeling axis in Benzo[a]pyrene-related atrial fibrillation
Environment International · 2026
Qianchen Wang, Jiejie Wu, Shaoyu Qi, Jingwen Zhang, Ying Liu
Read original paper ↗ ·DeepHeptox: An Interpretable Deep Learning Model for Multi-Endpoint Hepatotoxicity Prediction of Chemical Compounds
Journal of Chemical Information and Modeling · 2026
Ming Luo, Q X Wang, Yuxuan Wang, Feng Li, Ao Zhang, Yaxue Zhao
Read original paper ↗ ·Predicting hazardous Sb(III)/Sb(V) adsorption on biochar via an interpretable ML-DFT integrated BiMeSorb framework with experimental validation
ENGINEERING Environment · 2026
Yaoshuo Zhang, Chenxi Zha, Lijie Yuan, Yanzhong Li, Yinan Dong, Dongli Li, dongli Li, Zehui Li, Zehui Li, Shengbing He, Dongyang Li, Dongyang Li
Read original paper ↗ ·Quantitative decoupling of source–pathway–receptor driving mechanisms for integrated soil risk via interpretable machine learning
Environmental Pollution · 2026
Chuanghong Su, Yong Yang, Peihong Fu
Read original paper ↗ ·Bridging Nano-Interface Interactions and Organ-Specific Toxicity: A Review of Machine Learning for Nanomaterials Risk Assessment
Molecules · 2026
Wei Li, Yanfang Liu, Tianqin Wang, Jiana Meng, Yang Huang, Jiajun Ma, Hongwu Zhang
Read original paper ↗ ·An ensemble graph-transformer/descriptor-fusion model with uncertainty diagnostics for ternary class screening of Daphnia magna acute toxicity
Environmental Pollution · 2026
Zexin Wen, Rong Yang, Ruidong Chen, Yuxuan Chen, Yuyao Jiang, Qingyi Cao, Shuying Li, Haibo Yu, Wenjun Gui
Read original paper ↗ ·Mechanism-Driven Risk Assessment of 1,3,6-Tribromocarbazole: An Integrated Strategy Implicates ESR1-Associated Cardiovascular Toxicity
Environmental Science & Technology · 2026
Jie Gu, Xin Zhao, Liguo Guo, Wenhui Qiu, Lihong Zhang, Peng Wang, Guixiang Ji, Xiaowei Jin
Read original paper ↗ ·Construction of Adverse Outcome Pathway (AOP) for Triphenyl Phosphate (TPHP)–Induced Autism Spectrum Disorder (ASD) and Risk Identification of Neurodevelopmental Toxicity of Aryl Organophosphorus Flame Retardants (OPFRs) Based on Multidimensional Bioinformatic Data
International Journal of Molecular Sciences · 2026
Yonghang Li, Kaidong Wang, Ai Qi, Qi Liu, Ge Shi, Min Huang
Read original paper ↗ ·