MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

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Mortalin overexpression predicts poor prognosis in early stage of non–small cell lung cancer by Jie Sun, Shuan-Long Che, Jun-Jie Piao, Ming Xu, Li-Yan Chen, Zhen-Hua Lin

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Chronotype Predicts Body Mass Index via Emotion Regulation Strategy Use and Emotional Eating by Gregory S. Keenan, Sakina Hosseni, Robert C. A. Bendall

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THE ISSUE OF INSECTICIDE REGULATION ON SKIN SURFACE FOR PREDICTING THE RISK OF OCCUPATIONAL SKIN PATHOLOGY IN AGRICULTURAL WORKERS by Heorhii P. Bardov, Mykola V. Kondratiuk, Olena P. Vavrinevych, Oleksandr S. Vavrinevych

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The Role of Pre-Treatment Inflammatory Biomarkers in Predicting Tumor Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer by Yunus Emre Altıntaş, Ahmet Bilici, Özcan Yıldız, Oğuzcan Kınıkoğlu, Ömer Fatih Ölmez

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Visit-to-visit ultrafiltration volume variability predicts all-cause mortality in patients receiving hemodialysis by Quanchao Zhang, Ning Wang, Ling Nie, Caibao Lu, Hongwei Chen, Wenchang He, Moqi Li, Yiqin Wang, Jinghong Zhao, Jiachuan Xiong

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Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species by Shiyi Wang, Yingjia Wei, Dengying Liu, Xiangzhe Zhang, Qishan Wang, Yuchun Pan, Peipei Ma

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Germline microRNA-based signatures predict toxicity and response to anti-CTLA-4 therapy by Joanne B. Weidhaas, Kristen M. McGreevy, Nicholas Marco, Nora Sundahl, Christopher R. Cabanski, Christine Spencer, Theresa LaVallee, Piet Ost, Donatello Telesca

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Handgrip strength in elite youth football: potential for performance prediction and the moderating effects of age and maturation by Sebastian Viktor Waldemar Schulz, Lucas Wizani, Lynn Matits, Lynn Matits, Eric Schwarz, Patrick Wiedemann, Daniel Alexander Bizjak, Achim Jerg, Johannes Kirsten, Alexander-Stephan Henze

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Predicting deformation kinetics and fractures propagation in coal-rock masses using acoustic emission testing by Majid Khan, Xueqiu He, Dazhao Song, Zhenlei Li, Xianghui Tian

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Identification of the risk factors for predicting severe acute kidney injury in patients after liver transplantation by Ran Zhou, Huan Wang, Qi Yang, Qi Yang, Lin Han

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Global burden of colorectal cancer attributable to metabolic risks from 1990 to 2021, with predictions to 2046 by Xiaoyue Zhang, Ziqing Xu, Lin Shang, Qian Yang, Hua Ye, Haiyan Liu, Yuanlin Zou, Yin Lu, Zhong Zheng, Meng Li, Peng Wang, Jicun Zhu

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Emotion dynamics prospectively predict depressive symptoms in adolescents: findings from intensive longitudinal data by Yuting Yang, Jingyi Wang, Haijiang Lin, Xiaoxiao Chen, Yun Chen, Jiawen Kuang, Ye Yao, Tingting Wang, Chaowei Fu

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The Role of Endothelinergic and Nitroxidergic Reactions in Predicting the Functional Outcome in Patients with Ischemic Stroke of Different Severity by A. M. Tynterova, E. M. Moiseeva, A. M. Golubev, N. N. Shusharina

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Associations of genetically predicted fatty acid levels across the phenome: A mendelian randomisation study. by Loukas Zagkos, Marie-Joe Dib, Rui Pinto, Dipender Gill, Fotios Koskeridis, Fotios Drenos, Georgios Markozannes, Paul Elliott, Verena Zuber, Kostas Tsilidis, Abbas Dehghan, Ioanna Tzoulaki

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Multimodal deep learning for predicting neoadjuvant treatment outcomes in breast cancer: a systematic review by Eriseld Krasniqi, Lorena Filomeno, Teresa Arcuri, Gianluigi Ferretti, Simona Gasparro, Alberto Fulvi, Arianna Roselli, Loretta D’Onofrio, Laura Pizzuti, Maddalena Barba, Marcello Maugeri-Saccà, Claudio Botti, Franco Graziano, Ilaria Puccica, Sonia Cappelli, Fabio Pelle, Flavia Cavicchi, Amedeo Villanucci, Ida Paris, Fabio Calabrò, Sandra Rea, Maurizio Costantini, Letizia Perracchio, Giuseppe Sanguineti, Silvia Takanen, Laura Marucci, Laura Greco, Rami Kayal, Luca Moscetti, Elisa Marchesini, Nicola Calonaci, Giovanni Blandino, Giulio Caravagna, Patrizia Vici

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Impact of personalised risk predictions on breast cancer risk perceptions: insights from the BREATHE study by Peh Joo Ho, Su-Ann Goh, Serene Si Ning Goh, Jenny Liu, Ying Jia Chew, Nur Khaliesah Mohamed Riza, Han Boon Oh, Chi Hui Chin, Sing Cheer Kwek, Zhi Peng Zhang, Desmond Luan Seng Ong, Swee Tian Quek, Sujith Wijerathne, Jingmei Li, Philip Tsau Choong Iau, Mikael Hartman

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Remnant cholesterol predicts risk of recurrent thrombosis beyond LDL-cholesterol in patients with antiphospholipid syndrome by Bin Cai, Yangzhong Zhou, Xinzhuang Yang, Zhaoqing Wang, Can Huang, Qingqing Xiao, Hui Jiang, Yuan Zhao, Xinping Tian, Qian Wang, Guanqiao Li, Mengtao Li, Xiaofeng Zeng, Jiuliang Zhao

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Development and validation of mRNA expression-based classifiers to predict low-risk thyroid tumors by Allan Golding, David Bimston, Emma Namiranian, Ellen Marqusee, Gabriel Correa, Evana Valenzuela Scheker, Ruochen Jiang, Yangyang Hao, Mohammed Alshalalfa, Jing Huang, Joshua P. Klopper, Richard T. Kloos, Sara Ahmadi

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Predicting present and future habitats using LiDAR to integrate research and monitoring with landscape analyses by David A. MacLean, Thomas Baglole, Maurane Bourgouin, Billie Chiasson, Jiban C. Deb, Maitane Erdozain, Remus J. James, Lauren Negrazis, Louka Tousignant, Phil Wiebe, Greg Adams, Joseph R. Bennett, Erik J.S. Emilson, Nicole J. Fenton, Graham J. Forbes, Michelle A. Gray, Karen A. Kidd, Andrew McCartney, Gaetan Moreau, Kevin B. Porter, Osvaldo Valeria, Lisa A. Venier

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