Multi‐Omic Analysis Reveals a Lipid Metabolism Gene Signature and Predicts Prognosis and Chemotherapy Response in Thyroid Carcinoma by Yuqin Tu, Yanchen Chen, Linlong Mo, Guiling Yan, Jingling Xie, Xinyao Ji, Shu Chen, Changchun Niu, Pu Liao

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A visualized nomogram to predict intravenous immunoglobulin resistance in Kawasaki disease: a study based on the population in Southern China by Xinping Lin, Yunsong Li, Sihuang Chen, Shiteng Lin, Xiaoqing Yang, Wei Zhuang

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Multimodal Deep Learning for Cardiovascular Risk Stratification: Integrating Retinal Biomarkers and Cardiovascular Signals for Enhanced Heart Attack Prediction by K. Sathya, G. Magesh

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Relational Lorentzian Asymptotically Safe Quantum Gravity: Showcase Model by Renata Ferrero, Thomas Thiemann

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Strain Decay Monitoring and Analytical Prediction of RC Columns Using Brillouin Optical Technology and Time-Dependent Deterioration Factor by Ittipon Pasityothin, Phromphat Thansirichaisree, Apichat Buatik, Thanongsak Imjai, Radhika Sridhar, Reyes Garcia, Takafumi Noguchi

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Predicting Upper body Muscle Activation Patterns in Paralympic Cross-Country Skiing Using Neural Networks and Accelerometer Data by Barioudi Hatim, Felderhoff Thomas, Mrachacz-Kersting Natalie

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Longitudinal MRI‐Driven Multi‐Modality Approach for Predicting Pathological Complete Response and B Cell Infiltration in Breast Cancer by Yu‐Hong Huang, Zhen‐Yi Shi, Teng Zhu, Tian‐Han Zhou, Yi Li, Wei Li, Han Qiu, Si‐Qi Wang, Li‐Fang He, Zhi‐Yong Wu, Ying Lin, Qian Wang, Wen‐Chao Gu, Chang‐Cong Gu, Xin‐Yang Song, Yang Zhou, Dao‐Gang Guan, Kun Wang

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A deep learning approach for early prediction of breast cancer neoadjuvant chemotherapy response on multistage bimodal ultrasound images by Jiang Xie, Jinzhu Wei, Huachan Shi, Zhe Lin, Jinsong Lu, Xueqing Zhang, Caifeng Wan

“…In this study, a novel convolutional neural network model with bimodal layer-wise feature fusion module (BLFFM) and temporal hybrid attention module (THAM) is proposed, which uses multistage bimodal ultrasound images as input for early prediction of the efficacy of neoadjuvant chemotherapy in locally advanced breast cancer (LABC) patients. …”
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COOPERATIVE MODEL FOR OPTIMIZATION OF EXECUTION OF THREADS ON MULTI-CORE SYSTEM by A. A. Prihozhy, O. N. Karasik

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Modeling for Information Diffusion in Online Social Networks via Hydrodynamics by Ying Hu, Rachel Jeungeun Song, Min Chen

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How Predictable Is Electric Vehicle Adoption? Exploring the Broader Role of Renewables in Transportation Using a Data-Driven Approach by Simona-Vasilica Oprea, Adela Bara

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Prediction of vasopressor needs in hypotensive emergency department patients using serial arterial blood pressure data with deep learning by Yeongho Choi, Ki Hong Kim, Yoonjic Kim, Dong Hyun Choi, Yoon Ha Joo, Sae Won Choi, Kyoung Jun Song, Sang Do Shin

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The molecular subtype based on cell cycle-related gene signature predicts the prognosis and chemotherapy and immunotherapy response in gastric cancer by Rishun Su, Jia Chen, Chen Dai, Songcheng Yin, Haoming Chen, Xuezeng Sun, Zhaoxin Fang, Changhua Zhang, Jingyao Chen, Liang Gu

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Utility of the 2019 EULAR/ACR SLE classification criteria for predicting mortality and hospitalisation: development and cross-validation of ominosity score by Ali Duarte-García, Gabriel Figueroa-Parra, Andrew C Hanson, Cynthia Crowson, Kamil E Barbour, Alain Sanchez-Rodriguez, María C Cuéllar-Gutiérrez, Mariana González-Treviño, José A Meade-Aguilar

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Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences by Zhu Liang, Jiamin Li, Yihan Tang, Yaxuan Zhang, Chunyuan Chen, Siyuan Li, Xuefeng Wang, Xinyan Xu, Ziye Zhuang, Shuyan He, Biao Deng

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Prediction of functional outcomes in aneurysmal subarachnoid hemorrhage using pre-/postoperative noncontrast CT within 3 days of admission by Pengzhan Yin, Jiaqi Wang, Chao Zhang, Yongxiang Tang, Xiankuo Hu, Hongmin Shu, Jun Wang, Bin Liu, Yongqiang Yu, Yunfeng Zhou, Xiaohu Li

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Predictive role of weight-adjusted waist index in diabetic peripheral neuropathy among patients with type 2 diabetes mellitus by Meng-Ke Cheng, Yao-Yao Guo, Zi-Yin Zhang, Xiao-Nan Kang, Dan Wang, Hui-Hui Ren, Gang Yuan

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A Deep Learning-Based Mapping Model for Three-Dimensional Propeller RANS and LES Flow Fields by Jianhai Jin, Yuhuang Ye, Xiaohe Li, Liang Li, Min Shan, Jun Sun

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Longitudinal CE-MRI-based Siamese network with machine learning to predict tumor response in HCC after DEB-TACE by Nan Wei, René Michael Mathy, De-Hua Chang, Philipp Mayer, Jakob Liermann, Christoph Springfeld, Michael T Dill, Thomas Longerich, Georg Lurje, Hans-Ulrich Kauczor, Mark O. Wielpütz, Osman Öcal

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A machine learning based radiomics approach for predicting No. 14v station lymph node metastasis in gastric cancer by Tingting Ma, Tingting Ma, Tingting Ma, Tingting Ma, Tingting Ma, Mengran Zhao, Mengran Zhao, Mengran Zhao, Mengran Zhao, Mengran Zhao, Xiangli Li, Xiangchao Song, Xiangchao Song, Xiangchao Song, Xiangchao Song, Lingwei Wang, Lingwei Wang, Lingwei Wang, Lingwei Wang, Zhaoxiang Ye, Zhaoxiang Ye, Zhaoxiang Ye, Zhaoxiang Ye

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