Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial by Trevor van Mierlo, Rachel Fournier, Siu Kit Yeung, Sofiia Lahutina

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Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition by Shaikh Yassir Yousouf Jewan, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, Vinay Pagay

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Predicting PD-L1 status in NSCLC patients using deep learning radiomics based on CT images by Jiameng Lu, Xinyi Liu, Xiaoqing Ji, Yunxiu Jiang, Anli Zuo, Zihan Guo, Shuran Yang, Haiying Peng, Fei Sun, Degan Lu

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Prediction of progressive fibrosing interstitial lung disease in patients with systemic sclerosis: insight from the CRDC cohort study by Xiaofeng Zeng, Yong Hou, Qian Wang, Jiuliang Zhao, Mengtao Li, Dong Xu, Xinwang Duan, Jiaxin Zhou, Min Hui

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Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension by Zunfeng Fu, Jing Wang, Wenyi Shen, Yanqing Wu, Jiajun Zhang, Yan Liu, Chongqiang Wang, Yanlin Shen, Ye Zhu, Weifu Zhang, Chunju Lv, Lin Peng

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A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes by Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiangxu Hu, Aibiao Zou, Zhiguo Liu, Hualin Wang

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Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort Study by Yuki Hashimoto, Norihiko Inoue, Takuaki Tani, Shinobu Imai

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Multi-parametric MRI-based radiomics nomogram for predicting lymphovascular space invasion in early-stage cervical adenocarcinoma by Ke-Ying Wang, Mei-Ling Xiao, Mei-Ling Xiao, Yu-Han Fang, Yu-Han Fang, Jie-Jun Cheng, Zi-Jing Lin, Ying Li, Jin-Wei Qiang

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DMoVGPE: predicting gut microbial associated metabolites profiles with deep mixture of variational Gaussian Process experts by Qinghui Weng, Mingyi Hu, Guohao Peng, Jinlin Zhu

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Coupling coordination between agricultural carbon emission efficiency and food security in China: The spatial-temporal evolution and prediction. by Xixian Zheng, Wenmei Liao

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Computed tomography based radiomics signature for predicting the expression of vascular endothelial growth factor in pediatric patients with nephroblastoma by Ma Fu, Han Qi, Suyue Zhu, Yan Gao, Yanlin Li, Jian Wu, Dongsheng Zhu

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Effect of Soft Interlayer Dip Angle on the Attenuation and Prediction of Blast-Induced Vibrations in Rock Slopes: An Experimental Study by Sheng Chen, Nan Jiang, Ying Sun, Jian Pan, Liping He, Jianxiong Guo, Jikui Zhang, Zicheng Zhang

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Prediction of thermophysical properties of R-454B based on molecular dynamic simulation and SAFT-based equation of state by Farag M. A. Altalbawy, Fadhil Faez Sead, Ramdevsinh Jhala, T. Ramachandran, Junainah Abd Hamid, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi

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ANN and RSM Prediction of Water Uptake of Recycled HDPE Biocomposite Reinforced with Treated Palm Waste W. filifera by Naouri Ladaci, Aziz Saadia, Ahmed Belaadi, Messaouda Boumaaza, Boon Xian Chai, Mahmood M. S. Abdullah, Amar Al-Khawlani, Djamel Ghernaout

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A Spatiotemporal Sequence Prediction Framework Based on Mask Reconstruction: Application to Short-Duration Precipitation Radar Echoes by Zhi Yang, Changzheng Liu, Ping Mei, Lei Wang

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A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network by Owen He, Daoxing Chen, Yimei Li

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A multi-type programmed cell death gene signature predicts survival and reveals therapeutic targets in osteosarcoma by Chunyang Wu

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Non-Invasive Multivariate Prediction of Human Thermal Comfort Based on Facial Temperatures and Thermal Adaptive Action Recognition by Kangji Li, Fukang Liu, Yanpei Luo, Mushtaque Ali Khoso

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Prediction of 123I-FP-CIT SPECT Results from First Acquired Projections Using Artificial Intelligence by Wadi’ Othmani, Arthur Coste, Dimitri Papathanassiou, David Morland

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A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks by Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati

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