Nutritional profiling of horse gram through NIRS-based multi-trait prediction modelling by Manju Kumari, Siddhant Ranjan Padhi, Mamta Arya, Rashmi Yadav, M. Latha, Anjula Pandey, Rakesh Singh, Chellapilla Bhardwaj, Atul Kumar, Jai Chand Rana, Kailash Chandra Bhatt, Rakesh Bhardwaj, Amritbir Riar

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A reproducible rat model for predicting incisional hernia recurrence: insights for clinical translation by Eric Toshiyuki Nakamura, Francisco Tustumi, Marina Alessandra Pereira, Leonardo Cardili, Ana Paula Gárate, Bruno Cogliati, Venancio Avancini Ferreira Alves, Sandra Nassa Sampietre, Cinthia Lanchotte Ferreira, Giovanna Mattos Ferreira, Michelly Moreira Campos, Ulysses Ribeiro Junior, Luiz Augusto Carneiro D’Albuquerque, Flávio Henrique Ferreira Galvão

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Prostruc: an open-source tool for 3D structure prediction using homology modeling by Shivani V. Pawar, Wilson Sena Kwaku Banini, Musa Muhammad Shamsuddeen, Toheeb A. Jumah, Nigel N. O. Dolling, Abdulwasiu Tiamiyu, Olaitan I. Awe

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A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors by Ying Li, Xinli Zhong, Mengjiao Yang, Lu Yuan, Dandan Wang, Ting Li, Yanying Guo

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A scoping review and modelling of predictors of an abnormal Thompson score in term neonates in low-resource settings by Khan Nushrat, Mugwagwa Edna, Cortina-Borja Mario, Catherall Ellie, Fitzgerald Felicity, Chimhuya Simbarashe, Chimhini Gwendoline, Gannon Hannah, Crehan Caroline, Mangiza Marcia, Heys Michelle

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Risk prediction models for ovarian hyperstimulation syndrome: a systematic review and meta-analysis by Jinghui Liu, Fangli Liu, Wenqi Xu, Luwen Zhang, Qingmi Tian, Libaihe Du, Siyuan Li, Mingyang Zhang

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Cervical cancer prediction using machine learning models based on routine blood analysis by Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song

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Combining diffusion and transformer models for enhanced promoter synthesis and strength prediction in deep learning by Xin Lei, Xing Wang, Guanlin Chen, Ce Liang, Quhuan Li, Huaiguang Jiang, Wei Xiong

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Development and validation of a prediction model for VTE risk in gastric and esophageal cancer patients by Xingyue Zheng, Liuyun Wu, Lian Li, Yin Wang, Qinan Yin, Lizhu Han, Xingwei Wu, Yuan Bian

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Development, validation and recalibration of a prediction model for prediabetes: an EHR and NHANES-based study by Nicholas J. Casacchia, Kristin M. Lenoir, Joseph Rigdon, Brian J. Wells

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Cell Death and Senescence‐Based Molecular Classification and an Individualized Prediction Model for Lung Adenocarcinoma by Pan Wang, Chaoqi Zhang, Peng Wu, Zhihong Zhao, Nan Sun, Qi Xue, Shugeng Gao, Jie He

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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

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Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

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Comparative evaluation of hybrid and individual models for predicting soybean yellow mosaic virus incidence by Yunish Khan, Vinod Kumar, Amel Gacem, Anurag Satpathi, Parul Setiya, Kumari Surbhi, Ajeet Singh Nain, Dinesh Kumar Vishwakarma, Ahmad J. Obaidullah, Krishna Kumar Yadav, Ozgur Kisi

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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

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An ensemble model for predicting dyslipidemia using 3-years continuous physical examination data by Naiwen Zhang, Xiaolong Guo, Xiaxia Yu, Zhen Tan, Zhen Tan, Feiyue Cai, Feiyue Cai, Ping Dai, Jing Guo, Guo Dan

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A machine learning based prediction model for short term efficacy of nasopharyngeal carcinoma by Qiulu Zhong, Xiangde Li, Qinghua Du, Qianfu Liang, Danjing Luo, Jiaying Wen, Haiying Yue, Wenqi Liu, Xiaodong Zhu, Jian Li

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Predicting vector distribution in Europe: at what sample size are species distribution models reliable? by Lianne Mitchel, Lianne Mitchel, Guy Hendrickx, Ewan T. MacLeod, Cedric Marsboom, Cedric Marsboom

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Development of an AI Model for Predicting Methacholine Bronchial Provocation Test Results Using Spirometry by SangJee Park, Yehyeon Yi, Seon-Sook Han, Tae-Hoon Kim, So Jeong Kim, Young Soon Yoon, Suhyun Kim, Hyo Jin Lee, Yeonjeong Heo

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Prediction rotary drilling penetration rate in lateritic soils using machine learning models by Eugène Gatchouessi Kamdem, Franck Ferry Kamgue Tiam, Luc Leroy Mambou Ngueyep, Olivier Wounabaissa, Hugues Richard Lembo Nnomo, Abraham Kanmogne

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