Serum S100A6 concentration predicts peritoneal tumor burden in mice with epithelial ovarian cancer and is associated with advanced stage in patients. by Bih-Rong Wei, Shelley B Hoover, Mark M Ross, Weidong Zhou, Francesco Meani, Jennifer B Edwards, Elizabeth I Spehalski, John I Risinger, W Gregory Alvord, Octavio A Quiñones, Claudio Belluco, Luca Martella, Elio Campagnutta, Antonella Ravaggi, Ren-Ming Dai, Paul K Goldsmith, Kevin D Woolard, Sergio Pecorelli, Lance A Liotta, Emanuel F Petricoin, R Mark Simpson

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Machine learning analysis of pathological images to predict 1-year progression-free survival of immunotherapy in patients with small-cell lung cancer by Hirotaka Matsumoto, Hiroaki Akamatsu, Nobuyuki Yamamoto, Yuki Sato, Daichi Fujimoto, Yoshihiko Taniguchi, Motohiro Tamiya, Yasuhiro Koh, Junya Fukuoka, Hisashi Tanaka, Naoki Furuya, Ryota Shibaki, Tsukasa Nozawa, Akira Sano, Yuka Kitamura, Takashi Kijima, Toshihide Yokoyama, Satoru Miura, Akito Hata, Jun Sugisaka

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Identification of m5C RNA modification-related gene signature for predicting prognosis and immune microenvironment-related characteristics of heart failure by Zirui Liu, Rui Feng, Ying Xu, Meili Liu, Haocheng Wang, Yu Lu, Weiqi Wang, Jikai Wang, Cao Zou

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Predicting housing price, housing density, and green area coverage from combined satellite and street view imagery using deep learning by Ana Beatriz de Figueiredo Oliveira, Mauro Castelli, Esra Suel

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Predicting COVID-19 progression from diagnosis to recovery or death linking primary care and hospital records in Castilla y León (Spain). by Pedro C Álvarez-Esteban, Eustasio Del Barrio, Oscar M Rueda, Cristina Rueda

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LSN-GTDA: Learning Symmetrical Network via Global Thermal Diffusion Analysis for Pedestrian Trajectory Prediction in Unmanned Aerial Vehicle Scenarios by Ling Mei, Mingyu Fu, Bingjie Wang, Lvxiang Jia, Mingyu Yu, Yu Zhang, Lijun Zhang

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A novel N7-Methylguanine-related gene signature for predicting prognosis in acute myeloid leukemia: bioinformatic analysis and experimental verification by Ranran Zhao, Lulu Yang, Chenchen Liu, Ruoyu Jiang, Qianlei Huang, Qin Wang, Xiaojin Wu

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Integrating Machine Learning and Deep Learning for Predicting Non-Surgical Root Canal Treatment Outcomes Using Two-Dimensional Periapical Radiographs by Catalina Bennasar, Antonio Nadal-Martínez, Sebastiana Arroyo, Yolanda Gonzalez-Cid, Ángel Arturo López-González, Pedro Juan Tárraga

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Deep learning progressive distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients by Saiyi Han, Tong Zhang, Wenzhuo Deng, Shaoliang Han, Honghao Wu, Beier Jiang, Weidong Xie, Yide Chen, Tao Deng, Xuewen Wen, Nianbo Liu, Jianping Fan

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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

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Comprehensive analysis of m7G-related genes METTL1 and WDR4 for predicting prognosis and oncogenic functions in prostate cancer by Degeng Kong, Juanyi Shi, Cong Lai, Jintao Hu, Yelisudan Mulati, Jiawen Luo, Junjie Wang, Yunfei Xiao, Cheng Liu, Kewei Xu

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Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning by I Nyoman Mahayasa Adiputra, Paweena Wanchai, Pei-Chun Lin

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Cavity Effects and Prediction in the Vibration of Large-Section Rectangular Coal Roadways Induced by Deep-Hole Bench Blasting in Open-Pit Mines by Anjun Jiang, Honglu Fei, Yu Yan, Runcai Bai, Shijie Bao

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A-XGBoost: a resilient machine learning technique for predicting crimes against women across cultures on low cardinality crime data by Mathew Nicho, Ahmed Hamed, Tarek Gaber, Jamal Hamad Al Arimi

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Enhancing pH prediction accuracy in Al2O3 gated ISFET using XGBoost regressor and stacking ensemble learning by Ashirbad Panda, Rishikesh Datar, Shreyas Deshpande, Gautam Bacher

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Serum IL-6 and PTX3 predict severe outcome from COVID-19 in ambulatory subjects: Impact for future therapeutic decisions. by Josh Poorbaugh, Jonathan T Sims, Lin Zhang, Ching-Yun Chang, Richard E Higgs, Ajay Nirula, Robert J Benschop

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ChestXFusionNet: A Multimodal Deep Learning Framework for Predicting Chest Diseases from X-ray Images and Clinical Data by Shimbre Nivedita, Solanki Ram Kumar

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Skill-Learning-Based Trajectory Planning for Robotic Vertebral Plate Cutting: Personalization Through Surgeon Technique Integration and Neural Network Prediction by Heqiang Tian, Xiang Zhang, Yurui Yin, Hongqiang Ma

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Integrating customer-based brand equity and the theory of planned behavior to predict electric vehicle adoption in China: The moderating role of perceived price. by Chuan Zheng, Danling Sun, Munirah Khamarudin, Azanin Ahmad, Han Wei, Jie Xu

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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…Background N6-methyladenine (6mA) is an important DNA methylation modification that serves a crucial function in various biological activities. Accurate prediction of 6mA sites is essential for elucidating its biological function and underlying mechanism. …”
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