miR-182 promoter hypermethylation predicts the better outcome of AML patients treated with AZA + VEN in a real-world setting by Yilan Xu, Danyang Li, Na Wang, Bei Ge, Chen Meng, Min Zhao, Zihan Lin, Min Li, Yigang Yuan, Yue Cai, Liuzhi Shi, Shenmeng Gao, Haige Ye

“…However, an effective and rapid predictive biomarker to predict treatment outcome remains elusive. …”
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Two-Phase Air/Oil Flow in Aero-Engine Bearing Chambers – Assessment of an Analytical Prediction Method for the Internal Wall Heat Transfer by A. Glahn, S. Wittig

“…It is shown that a simple analytical approach is able to predict measured heat transfer data fairly well. Therefore, it offers scope for improvements within the analysis of bearing chamber heat transfer characteristics as well as for appropriate studies with respect to other components of the lubrication oil system such as vent pipeline elements.…”
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Identifying Optimal Variables to Predict Soil Organic Carbon in Sandy, Saline, and Black Soil Regions: Remote Sensing, Terrain, or Climate Factors? by Liping Wang, Huanjun Liu, Xiang Wang, Xiaofeng Xu, Liyuan He, Chong Luo, Yong Li, Xinle Zhang, Deqiang Zang, Shufeng Zheng, Xiaodan Mei

“…However, it is still challenging to identify which environmental variables are effective in cropland SOC prediction in sandy, saline, and black soil regions. …”
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FLT3 is associated with dendritic cell infiltration, tertiary lymphoid structure construction, and predict response to checkpoint inhibitors immunotherapy in solid cancers by Yongchang Tang, Hong Wang, Jiankun Zhang, Chunhui Yang, Fei Xu, Yan Song, Tianen Li, Qiangbo Zhang

“…FLT3 is associated with dendritic cell infiltration, tertiary lymphoid structure construction, and predict response to checkpoint inhibitors immunotherapy in HCC.…”
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Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network by Meiling Liang, Xiaohui Zhang, Rong Zhao, Xulin Wen, Shan Qing, Aimin Zhang

“…An optimal prediction model for flow boiling heat transfer of refrigerant mixture R245fa inside horizontal smooth tubes is proposed based on the GRNN neural network. …”
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Construction and Validation of a Major Depression Risk Predictive Model for Patients with Coronary Heart Disease: Insights from NHANES 2005–2018 by Li-xiang Zhang, Shan-bing Hou, Fang-fang Zhao, Ting-ting Wang, Ying Jiang, Xiao-juan Zhou, Jiao-yu Cao

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Serum Creatinine Level and APACHE-II Score within 24 h of Admission Are Effective for Predicting Persistent Organ Failure in Acute Pancreatitis by Jianhua Wan, Wenqing Shu, Wenhua He, Yin Zhu, Yong Zhu, Hao Zeng, Pi Liu, Liang Xia, Nonghua Lu

“…The present study was aimed at comparing serum markers and APACHE-II score to predict persistent organ failure (POF) in early acute pancreatitis (AP). …”
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Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis by Ghazi Bahroz Jumaa, Ali Ramadhan Yousif

“…The shear strength prediction of fiber-reinforced polymer- (FRP-) reinforced concrete beams is one of the most complicated issues in structural engineering applications. …”
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Comparison of Classification Algorithms with Wrapper-Based Feature Selection for Predicting Osteoporosis Outcome Based on Genetic Factors in a Taiwanese Women Population by Hsueh-Wei Chang, Yu-Hsien Chiu, Hao-Yun Kao, Cheng-Hong Yang, Wen-Hsien Ho

“…The goal of this study was to compare computational tools with and without feature selection for predicting osteoporosis outcome in Taiwanese women based on genetic factors such as single nucleotide polymorphisms (SNPs). …”
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An Improved Speed Sensing Method for Drive Control by Manuel R. Arahal, Manuel G. Satué, Juana M. Martínez-Heredia, Francisco Colodro

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Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

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Integrating AI into Cancer Immunotherapy—A Narrative Review of Current Applications and Future Directions by David B. Olawade, Aanuoluwapo Clement David-Olawade, Temitope Adereni, Eghosasere Egbon, Jennifer Teke, Stergios Boussios

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Comparison of positive BioFire FilmArray meningitis/encephalitis (ME) panels, CSF cultures, CSF parameters, clinical presentation and in-patient mortality among patients with bacte... by Thein Myint, Jaime Soria, Yuanzheng Gao, Marice Ruiz Conejo Castillo, Vaneet Arora, Julie A. Ribes

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Cooperative maximum adhesion tracking control for multi-motor electric locomotives by Leiting Zhao, Yongxiang Wang, Kan Liu, Liran Li, Jingyuan Zhan, Qingliang Liu

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Multimodal mismatch responses in mouse auditory cortex by Magdalena Solyga, Georg B Keller

Subjects: “…predictive processing…”
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Unraveling the heterogeneity of WHO grade 4 gliomas: insights from clinical, imaging, and molecular characterization by Haihui Jiang, Xijie Wang, Xiaodong Chen, Shouzan Zhang, Qingsen Ren, Mingxiao Li, Ming Li, Xiaohui Ren, Song Lin, Yong Cui

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Digital twins in dermatology: a new era of personalized skin care by Diala Haykal

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Evaluation of Preoperative CA15-3 Level and its Relationship with Clinico-Pathological Characteristics in Primary Breast Cancer Patients by Braihan Hamdi Hameed, Izzat Abdulsatar Al-Rayahi, Salwa S. Muhsin

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Co-Cultivation Growth of Escherichia coli and Staphylococcus aureus as Two Common Dairy Contaminants by Alžbeta Medveďová, Romana Györiová, Veronika Lehotová, Ľubomír Valík

Subjects: “…predictive microbiology…”
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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

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