CT-based radiomics analysis for predicting EGFR and ALK mutational status in non‑small cell lung cancer by Ruimin He, Tengxiang Li, Li Sun, Peng Lu, Dan Sun, Rongrong Zhou, Dangchi Li, Xiaohua Yang, Zijian Zhang

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Development of a novel nomogram to predict hemorrhagic transformation following endovascular treatment in patients with acute ischemic stroke by Xiaofen Zhao, Yuanjie Le, Ting Xin, Guosheng Gao, Mengya Zhu, Kai Xun, Xinliang Mao

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Machine learning for predicting the outcomes and risks of cardiovascular diseases in patients with hypertension: results of ESSE-RF in the Primorsky Krai by V. A. Nevzorova, N. G. Plekhova, L. G. Priseko, I. N. Chernenko, D. Yu. Bogdanov, M. V. Mokshina, N. V. Kulakova

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Machine learning predicts spinal cord stimulation surgery outcomes and reveals novel neural markers for chronic pain by Jay Gopal, Jonathan Bao, Tessa Harland, Julie G. Pilitsis, Steven Paniccioli, Rachael Grey, Michael Briotte, Kevin McCarthy, Ilknur Telkes

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Turbulent and Transitional Modeling of Drag on Oceanographic Measurement Devices by J. P. Abraham, J. M. Gorman, F. Reseghetti, E. M. Sparrow, W. J. Minkowycz

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Charge symmetry breaking in hypernuclei within RMF model by Ting-Ting Sun, Yusuke Tanimura, Hiroyuki Sagawa, Emiko Hiyama

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Nonlinear modeling of liming reaction and extractable base curves by João H. M. Viana, Manoel R. de Albuquerque Filho, Flávia C. dos Santos, Daniela de A. Ladeira

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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

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Modeling the Effects of Relapse in the Transmission Dynamics of Malaria Parasites by Ricardo Águas, Marcelo U. Ferreira, M. Gabriela M. Gomes

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Markov State Model Approach to Simulate Self-Assembly by Anthony Trubiano, Michael F. Hagan

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Postheated Model of Confined High Strength Fibrous Concrete by Kaleem A. Zaidi, Umesh K. Sharma, N. M. Bhandari, P. Bhargava

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Prediction of the daily spatial variation of stem water potential in cherry orchards using weather and Sentinel-2 data by Francisco Zambrano, Abel Herrera, Mauricio Olguín, Miro Miranda, Jesica Garrido, Andrea Miyasaka Almeida

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Enhancing soil organic carbon prediction by unraveling the role of crop residue coverage using interpretable machine learning by Yi Dong, Xinting Wang, Sheng Wang, Baoguo Li, Junming Liu, Jianxi Huang, Xuecao Li, Yelu Zeng, Wei Su

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Genotype Prediction from Retinal Fundus Images Using Deep Learning in Eyes with Age-Related Macular Degeneration by Avishai Halev, PhD, Denis Huang, MD, Shahbaz Rezaei, PhD, Sean Banks, BS, John D. McPherson, PhD, Suma P. Shankar, MD, PhD, Xin Liu, PhD, Glenn Yiu, MD, PhD

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Deep learning-based prediction of nodal metastasis in lung cancer using endobronchial ultrasoundCentral MessagePerspective by Tsukasa Ishiwata, MD, PhD, Terunaga Inage, MD, PhD, Masato Aragaki, MD, PhD, Alexander Gregor, MD, PhD, Zhenchian Chen, MD, Nicholas Bernards, PhD, Kamran Kafi, MD, Kazuhiro Yasufuku, MD, PhD

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VAE-Assisted Data Augmentation for Improved Molecular Prediction with Graph Neural Networks (GNNs) in Low-Data Regimes by Gabriela C. Theis Marchan, Pegah Naghshnejad, Andrew Okafor, Jose A. Romagnoli

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Comparing variable and feature selection strategies for prediction - protocol of a simulation study in low-dimensional transplantation data. by Linard Hoessly, Jaromil Frossard, Simon Schwab, Frédérique Chammartin, Alexander Leichtle, Peter Werner Schreiber, Dionysios Neofytos, Michael Koller, with the Swiss Transplant Cohort Study (STCS)

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AF2-mutation: adversarial sequence mutations against AlphaFold2 in protein tertiary structure prediction by Zhongju Yuan, Tao Shen, Sheng Xu, Leiye Yu, Bin Pang, Bing Gan, Qiantai Feng, Ruobing Ren, Siqi Sun

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Thermite combustion: Current trends in modeling and future perspectives by Alain Esteve, Carole Rossi

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Insight on the relationship between heart rate variability parameters and the risk of stroke among non-valvular paroxysmal atrial fibrillation patients by Yaohua Bu, Fabrice Yves Ndjana Lessomo, Zhiquan Wang

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