AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening by Rui-Fang Lu, Chao-Yin She, Dan-Ni He, Mei-Qing Cheng, Ying Wang, Hui Huang, Ya-Dan Lin, Jia-Yi Lv, Si Qin, Ze-Zhi Liu, Zhi-Rong Lu, Wei-Ping Ke, Chao-Qun Li, Han Xiao, Zuo-Feng Xu, Guang-Jian Liu, Hong Yang, Jie Ren, Hai-Bo Wang, Ming-De Lu, Qing-Hua Huang, Li-Da Chen, Wei Wang, Ming Kuang

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Using a machine learning algorithm and clinical data to predict the risk factors of disease recurrence after adjuvant treatment of advanced-stage oral cavity cancer by Sheng-Yao Huang, Ren-Jun Hsu, Dai-Wei Liu, Wen-Lin Hsu

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Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung... by FangHao Cai, Zhengjun Guo, GuoYu Wang, FuPing Luo, Yang Yang, Min Lv, JiMin He, ZhiGang Xiu, Dan Tang, XiaoHui Bao, XiaoYue Zhang, ZhenZhou Yang, Zhi Chen

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Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study by Yalan Hu, Zhenhai Cai, Nijiati Aierken, Yueqi Liu, Nan Shao, Yawei Shi, Mengmeng Zhang, Yangling Hu, Xiaoling Zhang, Ying Lin

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A Nomogram for Predicting Cancer-Specific Survival in Patients With Stage I Vulvar Squamous Cell Carcinoma: A Study Based on the SEER Database and External Validation by Yingfan Zhu MD, Tao Zhang MD, Jiali Xu MD, Zhuoqun Lin MD, Fenfen Wang MD, PhD, Xiaodong Cheng MD, PhD

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Development and validation of nomogram for predicting pathological complete response to neoadjuvant chemotherapy and immunotherapy for locally advanced gastric cancer: a multicente... by Hao Cui, Hao Cui, Rui Li, Rui Li, Liqiang Song, Yongpu Yang, Zhen Yuan, Zhen Yuan, Xin Zhou, Junfeng Du, Chaojun Zhang, Hong Xu, Lin Chen, Lin Chen, Yan Shi, Jianxin Cui, Bo Wei, Bo Wei

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Conventional magnetic resonance imaging combined with three-dimensional ultrasound for preoperative prediction of immediate ablation rate in high-intensity focused ultrasound treat... by Qiong Hao, Junwei Liu, Ruoying Hou, Wenxia Huang, Juan Liao, Zhenjiang Lin, Tijiang Zhang

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Prediction of Lithium-Ion Battery State of Health Using a Deep Hybrid Kernel Extreme Learning Machine Optimized by the Improved Black-Winged Kite Algorithm by Juncheng Fu, Zhengxiang Song, Jinhao Meng, Chunling Wu

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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Claudia M. Serpa-Imbett, Erika L. Gómez-Palencia, Diego A. Medina-Herrera, Jorge A. Mejía-Luquez, Remberto R. Martínez, William O. Burgos-Paz, Lorena A. Aguayo-Ulloa

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Enhanced predictability and interpretability of COVID-19 severity based on SARS-CoV-2 genomic diversity: a comprehensive study encompassing four years of data by Miao Miao, Yonghong Ma, Jiao Tan, Renjuan Chen, Ke Men

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MambaCAttnGCN+: a comprehensive framework integrating MambaTextCNN, cross-attention and graph convolution network for piRNA-disease association prediction by Dengju Yao, Xiangkui Li, Xiaojuan Zhan, Bo Zhang, Jian Zhang

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Prediction of blood–brain barrier and Caco-2 permeability through the Enalos Cloud Platform: combining contrastive learning and atom-attention message passing neural networks by Nikoletta-Maria Koutroumpa, Andreas Tsoumanis, Haralambos Sarimveis, Iseult Lynch, Georgia Melagraki, Antreas Afantitis

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Preterm birth trends and risk factors in a multi-ethnic Asian population: A retrospective study from 2017 to 2023, can we screen and predict this? by Rachel Phoy Cheng Chun, Hiu Gwan Chan, Gilbert Yong San Lim, Devendra Kanagalingam, Pamela Partana, Kok Hian Tan, Tiong Ghee Teoh, Ilka Tan

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Quantifying tumor morphological complexity based on pretreatment MRI fractal analysis for predicting pathologic complete response and survival in breast cancer: a retrospective, mu... by Yao Huang, Ying Cao, Huifang Chen, Xiaosong Lan, Sun Tang, Zhitao Zhang, Ting Yin, Xiaoxia Wang, Jiuquan Zhang

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Direct antiglobulin test type, red blood cell distribution width, and estimated glomerular filtration rate for early prediction of in-hospital mortality of patients with COVID-19 by Fei Chen, Jing Wang, Xinhong Jin, Bin Li, Yili Ying, Yufen Zheng, Guoguang Lu, Jun Li, Bo Shen

“…Objective: This study aimed to investigate the correlation between COVID-19 and the direct antiglobulin test (DAT) and establish an in-hospital mortality risk predictive model based on the DAT type, which can be used for the early prediction of inpatients with COVID-19. …”
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Predicting Winter Ammonia and Methane Emissions from a Naturally Ventilated Dairy Barn in a Cold Region Using an Adaptive Neural Fuzzy Inference System by Hualong Liu, Xin Wang, Tana, Tiezhu Xie, Hurichabilige, Qi Zhen, Wensheng Li

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Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Pro... by Zixiang Ye, Zhangyu Lin, Enmin Xie, Chenxi Song, Rui Zhang, Hao-Yu Wang, Shanshan Shi, Lei Feng, Kefei Dou

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OncoMet: a deep learning framework for the prediction of oncogenic signaling pathways and metastasis in esophageal cancer patients using histopathology images from primary tumors by Syed Wajid Aalam, Abdul Basit Ahanger, Tabasum Majeed, Ab Naffi Ahanger, Tariq Masoodi, Ajaz A. Bhat, Assif Assad, Muzafar Ahmad Macha, Muzafar Rasool Bhat

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Predicting Anabolic Androgenic Steroid Doping among Specialized Health Care Patients with Elastic Net Regression Reveals Potential Laboratory Variables for “Patient Biological Pass... by Paula Katriina Vauhkonen, Jari Haukka, Ilkka Vauhkonen, Katarina Mercedes Lindroos, Mikko Ilari Mäyränpää

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Nomogram for Predicting Suboptimal Weight Loss at Three Years after Roux-en-Y Gastric Bypass Surgery in Chinese Patients with Obesity and Type 2 Diabetes by Yiming Si, Hongwei Zhang, Xiaodong Han, Weijie Liu, Yinfang Tu, Xiaojing Ma, Haoyong Yu, Yuqian Bao

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