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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Deep Learning-Based Spatial Prediction of Landslide Risk in Coastal Areas Using GIS and Multicriteria Decision Making: A DeepLabV3+ Approach by Huyong Yan, Asad Khan, Ahsan Jamil, Belkendil Abdeldjalil, Taoufik Saidani, Nazih Y. Rebouh

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Prediction of intradialytic hypotension based on heart rate variability and skin sympathetic nerve activity using LASSO-enabled feature selection: a two-center study by Yike Zhang, Shuang Su, Zhenye Chen, Yaoyu Huang, Yujun Qian, Chang Cui, Yantao Xing, Ningning Wang, Hongwu Chen, Huijuan Mao, Jing Wang

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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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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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A new marker for predicting sentinel lymph node metastasis in early (cT1-2N0) breast cancer: Tumor-infiltrating lymphocytes (TILs). by Xihao Ni, Weitao Wang, Huimin Sun, Ran An, Ying Lei, Chang-Liang Wang

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A predictive nomogram for intramyocardial hemorrhage in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention based on coro... by Yiwen Wang, Yuan Lu, Yinshuang Yang, Shuguang Han, Qiuming Chi, Yafeng Zhou, Yang Duan

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How can patient experience scores be used to predict quality inspection ratings? A retrospective cross-sectional study of national primary care datasets in the UK by Alan J Poots, Steve Sizmur, Amy Tallett, Michele Peters, Chris Graham, Rory Corbett, Julien Forder

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