Prediction of speed of sound of deep eutectic solvents using artificial neural network coupled with group contribution approach by Ayat Hussein Adhab, Morug Salih Mahdi, Hardik Doshi, Anupam Yadav, R. Manjunatha, Sushil Kumar, Debasish Shit, Gargi Sangwan, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd

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Using apparent diffusion coefficient maps and radiomics to predict pathological grade in upper urinary tract urothelial carcinoma by Rile Nai, Kexin Wang, Shuai Ma, Zuqiang Xi, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

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Multimodal ultrasound radiomics containing microflow images for the prediction of central lymph node metastasis in papillary thyroid carcinoma by Jiangyuan Ben, Jiangyuan Ben, Qiying Yv, Pengfei Zhu, Junhao Ren, Pu Zhou, Guifang Chen, Ying He, Ying He

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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

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Predicting and Mapping of Soil Organic Matter with Machine Learning in the Black Soil Region of the Southern Northeast Plain of China by Yiyang Li, Gang Yao, Shuangyi Li, Xiuru Dong

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Machine Learning Prediction of Storm‐Time High‐Latitude Ionospheric Irregularities From GNSS‐Derived ROTI Maps by Lei Liu, Y. Jade Morton, Yunxiang Liu

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Predict of the development of lipid distress syndrome in patients with a sustained response to antiviral therapy of chronic hepatitis C by D. Yu. Konstantinov, G. V. Nedugov

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Annual global dengue dynamics are related to multi-source factors revealed by a machine learning prediction analysis. by Haoyu Long, Yilin Chen, Jingru Feng, Jian Chen, Xue Zhang, Wenjie Han, Min Kang, Xiangjun Du

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Deep learning-based prediction of individualized Real-time FSH doses in GnRH agonist long protocols by Na Kong, Yu Xia, Zhilong Wang, Hui Zhang, Liyan Duan, Yingchun Zhu, Chenyang Huang, Guijun Yan, Jie Mei, Wujun Li, Haixiang Sun

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Development and validation of a radiomics-based nomogram for predicting pathological grade of upper urinary tract urothelial carcinoma by Yanghuang Zheng, Hongjin Shi, Shi Fu, Haifeng Wang, Xin Li, Zhi Li, Bing Hai, Jinsong Zhang

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Prediction on Permeability Coefficient of Continuously Graded Coarse-Grained Soils: A Data-Driven Machine Learning Method by Jinhua Wang, Haibin Ding, Lingxiao Guan, Yulin Wang

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Prediction of Hypertension in the Pediatric Population Using Machine Learning and Transfer Learning: A Multicentric Analysis of the SAYCARE Study by Keisyanne Araujo-Moura, Letícia Souza, Tiago Almeida de Oliveira, Mateus Silva Rocha, Augusto César Ferreira De Moraes, Alexandre Chiavegatto Filho

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Machine Learning and Metabolomics Predict Mesenchymal Stem Cell Osteogenic Differentiation in 2D and 3D Cultures by Michail E. Klontzas, Spyros I. Vernardis, Aristea Batsali, Fotios Papadogiannis, Nicki Panoskaltsis, Athanasios Mantalaris

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Sonographic Assessment of Fetal Biometric Parameters and Maternal Height Ratio for Prediction of Cesarean Delivery due to Labor Dystocia by Wiarm Wadeng, Wanlaya Onwatanasarikul, Nop Khongthon, Monyada Pleankong, Sinart Prommas, Kornkarn Bhamarapravatana, Komsun Suwannarurk

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Predicting the occurrence of liver injury induced by immune checkpoint inhibitors in hepatocellular carcinoma patients: a retrospective analysis by Xiaoyan Li, Hang Sun, Jialiang Wang, Lubiao Chen

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Performance of a clinical/proteomic panel to predict obstructive peripheral artery disease in patients with and without diabetes mellitus by Nasrien Ibrahim, Renata Mukai, Craig Magaret, Rhonda Rhyne, Grady Barnes, Roland R J van Kimmenade, James L Januzzi, Cian P McCarthy, Shreya Shrestha, Hanna K Gaggin, Joseph M Garasic

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The Controlling Factors and Prediction of Deep-Water Mass Transport Deposits in the Pliocene Qiongdongnan Basin, South China Sea by Jiawang Ge, Xiaoming Zhao, Qi Fan, Weixin Pang, Chong Yue, Yueyao Chen

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Identification of M0 macrophage associated lipid metabolism genes for prognostic and immunotherapeutic response prediction in hepatocellular carcinoma by Huanjie Zhou, Ming Lao, Zhengui Liang, Huiliu Zhao, Ying Wang, Qiongqing Huang, Chao Ou

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A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors by Aymen M. Al-Hejri, Archana Harsing Sable, Riyadh M. Al-Tam, Mugahed A. Al-antari, Sultan S. Alshamrani, Kaled M. Alshmrany, Wedad Alatebi

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Study on Hydrogen Combustion Flame Acceleration Mechanism and Prediction Method During Severe Accidents in Nuclear Power Plants by Ran Liu, Jingyi Yu, Xiaoming Yang, Yong Liu, Rubing Ma, Yidan Yuan

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