Bioinformatics-Based Analysis of Ferroptosis-Related Biomarkers and the Prediction of Drugs Affecting the Adipogenic Differentiation of MSCs by Jiahao Jin, Zihao Yuan, Xinglang Wang, Quanfeng Li, Yunhui Zhang, Yibin Zhang, Pengfei Ji, Yanfeng Wu, Peng Wang, Wenjie Liu

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Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation by Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Pierpaolo Di Bitonto, Anna Maria Stellacci, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro

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Stock Index Prices Prediction via Temporal Pattern Attention and Long-Short-Term Memory by Xiaolu Wei, Binbin Lei, Hongbing Ouyang, Qiufeng Wu

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Predictive value of machine learning for radiation pneumonitis and checkpoint inhibitor pneumonitis in lung cancer patients: a systematic review and meta-analysis by Shenghan Wang, Kaiyue Wang, Jiangnan Lin

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Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma by Yun Liang, Yun Liang, Min He, Wenqing Chen, Wenqing Chen, Lizhen Li, Lizhen Li, Yumeng Dong, Yumeng Dong, Gang Liang, Hui Huangfu, Zengyu Jiang, Zengyu Jiang, Sheng He, Sheng He, Sheng He

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Biopsy image-based deep learning for predicting pathologic response to neoadjuvant chemotherapy in patients with NSCLC by Yibo Zhang, Shuaibo Wang, Xinying Liu, Yang Qu, Zijian Yang, Yang Su, Bin Hu, Yousheng Mao, Dongmei Lin, Lin Yang, Meng Zhou

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Identifying the Symptom Severity in Obsessive-Compulsive Disorder for Classification and Prediction: An Artificial Neural Network Approach by Mirza Naveed Shahzad, Muhammad Suleman, Mirza Ashfaq Ahmed, Amna Riaz, Khadija Fatima

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Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches by Xu Miao, Bing Wu, Yajie Zou, Lingtao Wu

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Open-Water Thrust and Torque Predictions of a Ducted Propeller System with a Panel Method by J. Baltazar, J. A. C. Falcão de Campos, J. Bosschers

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Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interaction predictions by Ceder Dens, Wout Bittremieux, Fabio Affaticati, Kris Laukens, Pieter Meysman

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Composite Fault Prediction of Bearing Based on Cascaded Long Short Term Memory Neural Network by JIANG Xuyao, LIN Qunxu, HOU Zhicheng, ZHANG Gong, ZHANG Jinyue, YANG Gen

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Could infarct location predict the long-term functional outcome in childhood arterial ischemic stroke? by Mauricio López-Espejo, Marta Hernández-Chávez

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Wireless semantic image transmission system based on deep flexible coding strategy and performance prediction by YANG Shuhan, SHEN Bin, HUANG Xiaoge

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Biomarkers at 6 weeks' gestation in the prediction of early miscarriage in pregnancy following assisted reproductive technology by Jun Guo, Qiaoli Feng, Piya Chaemsaithong, Kubi Appiah, Daljit S. Sahota, Bo Wah Leung, Jacqueline P. Chung, Tin Chiu Li, Liona C. Poon

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Addressing data scarcity in deep learning: Leveraging real and artificial datasets to predict compaction of composites by Anatoly Koptelov, Hanna Beketova, Jonathan P.-H. Belnoue, Stephen R. Hallett, Iryna Tretiak

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Classification of imbalanced travel mode choice dataset with SMOTE and prediction using interpretable machine learning by Mujahid Ali

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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

“…The best SSPR models demonstrated high accuracy, with an average ROC AUC of 0.831 ± 0.037, a Balanced accuracy of (0.763 ± 0.034), MCC (0.457 ± 0.06), and F-measure (0.623 ± 0.07) across all genes, outperforming the most popular bioinformatics tools.ConclusionsThe best created SSPR models for the prediction of pathogenicity of amino acid substitutions related with PIDs have been implemented in a freely available web application SAV-Pred (Single Amino acid Variants Predictor, http://www.way2drug.com/SAV-Pred/), which may be a useful tool for medical geneticists and clinicians. …”
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A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems by Mahmoud Ibnouf, Hadi Jaber, Hadil Abukhalifeh, Mohammed Ghazal, Mohamad Ramadan, Mohammad Alkhedher

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Evaluation the efficiency of using Artificial Neural Networks in predicting meteorological droughts in north-west of Iran by Arash malekian, mahro dehbozorgi, Amir hoshang ehsani

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The autonomic response following taVNS predicts changes in level of consciousness in DoC patients by Yan Li, Francesco Riganello, Jing Yu, Martina Vatrano, Mingquan Shen, Lijuan Cheng, Xiaohua Hu, Chengcheng Ni, Feiyang Wang, Bo Zheng, ChengCheng Zhang, Chaoyi Xie, Meiqi Li, Wangshan Huang, Fangfang Shou, Nantu Hu, Steven Laureys, Haibo Di

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