Fraction of Genome Altered, Age, Microsatellite Instability Score, Tumor Mutational Burden, Cancer Type, Metastasis Status, and Choice of Cancer Therapy Predict Overall Survival in... by Guillaume Mestrallet

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Computational Modelling of NF-κB Activation by IL-1RI and Its Co-Receptor TILRR, Predicts a Role for Cytoskeletal Sequestration of IκBα in Inflammatory Signalling. by David M Rhodes, Sarah A Smith, Mike Holcombe, Eva E Qwarnstrom

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Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O₃) Prediction in Johannesburg, South Africa by Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

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Stacking classifiers based on integrated machine learning model: fusion of CT radiomics and clinical biomarkers to predict lymph node metastasis in locally advanced gastric cancer... by Tong Ling, Zhichao Zuo, Mingwei Huang, Jie Ma, Liucheng Wu

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Novel prediction nomogram model for recurrent/persistent disease versus the American thyroid association recurrence risk stratification in patients with N1b papillary thyroid cance... by Jin Liu, Yuansheng Duan, Yuxuan Wang, Xinhua Li, Hao Li, Xigang Liu, Feng Qiao, Yansheng Wu, Xudong Wang

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Early stage prediction of bone regeneration using FEA and cell differentiation algorithms with 3D-printed PLA and PCL scaffolds: modeling and application to dorsal double-plating i... by Hsuan Chih Liu, Ya-Han Chan, Shao-Fu Huang, Wei-Che Tsai, Yen Cheng, Chun-Li Lin

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A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study. by Sehoon Park, Soomin Chung, Yisak Kim, Sun-Ah Yang, Soie Kwon, Jeong Min Cho, Min Jae Lee, Eunbyeol Cho, Jiwon Ryu, Sejoong Kim, Jeonghwan Lee, Hyung Jin Yoon, Edward Choi, Kwangsoo Kim, Hajeong Lee

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Protocol for the derivation and external validation of a 30-day postoperative pulmonary complications (PPCs) risk prediction model for elderly patients undergoing thoracic surgery:... by Wei Wei, Ming Zhou, Tao Jiang, Xi Zheng, Anyu Zhang, Chao Wei Zhou, HuaYong Yao

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A novel malnutrition assessment model predicts the inflammatory storm of relapsed/refractory acute myeloid leukemia following C-type lectin-like molecule-1 chimeric antigen recepto... by Tao Zhang, Mengnan Li, Xiaomei Zhang, Mohan Zhao, Yanyu Jiang, Xin Wang, Yifan Zhao, Xiaoxue Shi, Wentao Qu, Yu Zhang, Xue Bai, Bing Wang, Mingfeng Zhao

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Integrating the Situational Theory of Problem Solving and Technology Acceptance Model to Predict Intention to Practice Health Protective Behavior for Influenza-Like Illness Among T... by Can Li, Jen-Sern Tham, Ghazali Akmar Hayati Ahmad, Norliana Hashim, Jeong-Nam Kim

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Quantitative Characterization and Prediction of the Binding Determinants and Immune Escape Hotspots for Groups of Broadly Neutralizing Antibodies Against Omicron Variants: Atomisti... by Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Nishank Raisinghani, Gennady Verkhivker

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老年急性卒中患者医院感染预测模型的构建与验证(Construction and Validation of a Prediction Model for Nosocomial Infection in Elderly Patients with Acute Stroke) by 李静，程实，郭军平，胡爱香，于鑫玮，韩玮，张越巍，冀瑞俊(LI Jing, CHENG Shi, GUO Junping, HU Aixiang, YU Xinwei, HAN Wei, ZHANG Yuewei, JI Ruijun)

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Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry by Qihong Jiao, Yuxiao Wang, Yongshuai Wang, Shiwei Sun, Xuefeng Cui

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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence by Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao, Srikanth Prabhu, Shashikala K Bhat

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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence by Tejas Kadengodlu Bhat, Krishnaraj Chadaga, Niranjana Sampathila, Swathi KS, Rajagopala Chadaga, Shashikiran Umakanth, Srikanth Prabhu

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Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance by Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Le Anh Phuong

“…Improving protein representation quality can significantly impact PPI model performance. This study aims to propose a deep neural network-based model, in which both handcrafted and learned features are fused to improve PPI prediction. …”
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MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction by Jihong Wang, Ruijia He, Xiaodan Wang, Hongjian Li, Yulei Lu

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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

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A drug response prediction method for single-cell tumors combining attention networks and transfer learning by BingWei Zhou, BingWei Zhou, SiLin Sun, SiLin Sun, ShengZheng Liu, ShengZheng Liu, HaiXia Long, HaiXia Long, YuChun Li, YuChun Li

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Safety-involved co-optimization of speed trajectory and energy management for fuel cell-battery electric vehicle in car-following scenarios by Longlong Zhu, Fazhan Tao, Zhumu Fu, Mengyang Li, Guoqu Deng

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