Hepatotoxicity Evaluation of Levornidazole and Its Three Main Impurities: Based on Structure–Toxicity Classification Prediction Combined with Zebrafish Toxicity Assessment by Ting Liu, Song Yuan, Luyong Zhang, Dousheng Zhang

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SuperMetal: a generative AI framework for rapid and precise metal ion location prediction in proteins by Xiaobo Lin, Zhaoqian Su, Yunchao Lance Liu, Jingxian Liu, Xiaohan Kuang, Peter T. Cummings, Jesse Spencer-Smith, Jens Meiler

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Optimizing Equivalent Property-Damage-Only (EPDO) Prediction Models with Genetic Algorithms: A Case Study on Roundabout Geometric Characteristics by Hossein Samadi, Omid Rahmani, Khaled Shaaban, Amir Saman Abdollahzadeh Nasiri, Mehrzad Hasanvand

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Construction and validation of a fall risk prediction model in elderly maintenance hemodialysis patients: a multicenter prospective cohort study by Lin Li, Wenbin Xu, Yiqian Fang, Qian Jiang, Yanfei Zhou, Yan Chen, Qian Yang

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Machine learning-based prediction model for arteriovenous fistula thrombosis risk: a retrospective cohort study from 2017 to 2024 by Peng Shu, Ling Huang, Xia Wang, Zhuping Wen, Yiqi Luo, Fang Xu

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Performance of CAC-prob in predicting coronary artery calcium score: an external validation study in a high-CAC burden population by Pakpoom Wongyikul, Phichayut Phinyo, Pannipa Suwannasom, Apichat Tantraworasin, Chanikan Srikuenkaew, Pichyapa Jira, Kempiya Pornpipatsakul, Arachaporn Ngachuea, Phansa Chanthanom, Kanogphol Prayongkul, Warisara Chavalitjiraphan, Thitirat Rattananalin, Surasak Saokaew

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Application of quantitative protein mass spectrometric data in the early predictive analysis of membrane-bound target engagement by monoclonal antibodies by Armin Sepp, Morris Muliaditan

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Optimization of the Predicting of the Influenza Vaccine Strains by E. P. Kharchenko

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Factors Predicting Fertility Rate in Indonesia by Yusni Maulida, H Harlen, Delfi Ranta Sari, Tehubijuluw Zacharias

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Prediction of hemolytic peptides and their hemolytic concentration by Anand Singh Rathore, Nishant Kumar, Shubham Choudhury, Naman Kumar Mehta, Gajendra P. S. Raghava

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Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review by Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai

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Conflation of prediction and causality in the TB literature by M.L. Romo, L. Barcellini, M.F. Franke, P.Y. Khan

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Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds by Buchfink, Patrick, Glas, Silke, Haasdonk, Bernard

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CNN-CBAM-LSTM: Enhancing Stock Return Prediction Through Long and Short Information Mining in Stock Prediction by Peijie Ye, Hao Zhang, Xi Zhou

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Decadal Prediction for the European Energy Sector by Benjamin W. Hutchins, David J. Brayshaw, Len C. Shaffrey, Hazel E. Thornton, Doug M. Smith

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The application of adaptive symmetry reduction for LTL model checking by I. V. Konnov, V. A. Zakharov

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Machine learning and explainable artificial intelligence to predict and interpret lead toxicity in pregnant women and unborn baby by Priyanka Chaurasia, Pratheepan Yogarajah, Abbas Ali Mahdi, Sally McClean, Mohammad Kaleem Ahmad, Tabrez Jafar, Sanjay Kumar Singh

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Model reduction of structural mechanical response in the time domain by Xin Yan, Xinyu Guo, Ningya He, Jinglong Shi, Daquan Zhao

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Development and validation of a nomogram for predicting immune-mediated colitis in lung cancer patients treated with immune checkpoint inhibitors: a retrospective cohort study in C... by Qianjie Xu, Xiaosheng Li, Yuliang Yuan, Guangzhong Liang, Zuhai Hu, Wei Zhang, Ying Wang, Haike Lei

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Explainable Machine Learning in the Prediction of Depression by Christina Mimikou, Christos Kokkotis, Dimitrios Tsiptsios, Konstantinos Tsamakis, Stella Savvidou, Lillian Modig, Foteini Christidi, Antonia Kaltsatou, Triantafyllos Doskas, Christoph Mueller, Aspasia Serdari, Kostas Anagnostopoulos, Gregory Tripsianis

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