Collagen analysis by second-harmonic generation microscopy predicts outcome of luminal breast cancer by Rodrigo A Natal, José Vassallo, Geisilene R Paiva, Vitor B Pelegati, Guilherme O Barbosa, Guilherme R Mendonça, Caroline Bondarik, Sophie F Derchain, Hernandes F Carvalho, Carmen S Lima, Carlos L Cesar, Luís Otávio Sarian

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Artificial intelligence–based diabetes risk prediction from longitudinal DXA bone measurements by Sulaiman Khan, Zubair Shah

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Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation by Pascal B. Meyre, Stefanie Aeschbacher, Steffen Blum, Tobias Reichlin, Moa Haller, Nicolas Rodondi, Andreas S. Müller, Alain Bernheim, Jürg Hans Beer, Giorgio Moschovitis, André Ziegler, Bianca Wahrenberger, Elia Rigamonti, Giulio Conte, Philipp Krisai, Leo H. Bonati, Stefan Osswald, Michael Kühne, David Conen

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Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

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The application of multivariate classification method by reference points to determine the degree of spontaneous combustion of coal on the example of the Raspadskaya mine in Kuzbas... by F. A. Golynskaya, O. C. Smirnova, R. A. Nikonov

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Effectiveness prediction of Evogliptin treatment in type 2 diabetes mellitus in russian-korean population by Anna A. Mosikian, Alina Y. Babenko, Yulia A. Sevastyanova, Roman V. Drai, Evgenij V. Shlyakhto

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Unraveling the role of gut microbiome in predicting adverse events in neoadjuvant therapy for rectal cancer by Jingxin Ma, Shengbo Sun, Xin Cheng, Cong Meng, Hanzheng Zhao, Wentao Fu, Yan Gao, Liyan Ma, Zhengyang Yang, Hongwei Yao, Jianrong Su

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Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block by Xinyang He, Kun Zhang, Shu Jiang, Zhenxue Jiang, Xueying Wang, Wei Jiang, Jing Li, Yijia Wu, Zhi Gao, Tian Tang, Cheng Yang, Xuejiao Yuan, Fengli Han, Zeyun Wang, Laiting Ye

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Predicting Invasiveness in Lepidic Pattern Adenocarcinoma of Lung: Analysis of Visual Semantic and Radiomic Features by Sean F. Johnson, Seyed Mohammad Hossein Tabatabaei, Grace Hyun J. Kim, Bianca E. Villegas, Matthew Brown, Scott Genshaft, Robert D. Suh, Igor Barjaktarevic, William Dean Wallace, Fereidoun Abtin

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Robust prediction of chaotic systems with random errors using dynamical system deep learning by Zixiang Wu, Jianping Li, Hao Li, Mingyu Wang, Ning Wang, Guangcan Liu

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Maternal plasma cell-free RNA as a predictive test for fetal lung maturation by Sean W. D. Carter, Kay Yi Michelle Seah, Si En Poh, Winston Koh, Haruo Usuda, Erin L. Johnson, Yusaku Kumagai, Tsukasa Takahashi, Lara J. Monteiro, Reyna Peñailillo, Gino Nardocci, Hannah R. S. Watson, Masatoshi Saito, Mahesh A. Choolani, Sebastián E. Illanes, Matthew W. Kemp

“…A Random Forest algorithm identified genes that separated mature from immature fetal lung subgroups and determined AUC values for maternal and fetal cell-free RNA (cfRNA) feature sets to predict fetal lung maturation. Results We demonstrate that the analysis of 21 human cfRNA targets in maternal plasma is highly predictive of fetal lung maturation status across antenatal steroid induced (Dexamethasone AUC = 0.93; Betamethasone AUC = 1) and physiological (AUC = 1) lung development models. …”
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Analysis and Prediction of Disease Burden due to High BMI in China from 1990 to 2019 by YAN Danhong, GAN Tongzhou, YUAN Kongjun, ZHOU Guangqing

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Bioinformatics analysis of ferroptosis-related biomarkers and potential drug predictions in doxorubicin-induced cardiotoxicity by Jian Yu, Jian Yu, Jiangtao Wang, Xinya Liu, Xinya Liu, Cancan Wang, Cancan Wang, Li Wu, Yuanming Zhang, Yuanming Zhang

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QTN mapping, gene prediction, and simulation breeding of four-seed pod numbers in soybean by Ming Yuan, Xu Sun, Zhiyuan Yu, Haoyue Sun, Sheng Dong, Jie Zhang, Bo Hu, Wen-Xia Li, Hailong Ning, Wencheng Lu

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Impact of phthalate exposure and blood lipids on breast cancer risk: machine learning prediction by Yanbin Liu, Kunze Li, Yu Zhang, Yifan Cai, Xuanyu Liu, Yiwei Jia, Peizhuo Yao, Xinyu Wei, Huizi Wu, Xuan Liu, Cong Feng, Chaofan Li, Weiwei Wang, Shuqun Zhang, Chong Du

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Prediction of lethal outcomes in COVID-19 cases based on the results chest computed tomography by S. P. Morozov, V. A. Gombolevskiy, V. Yu. Cherninа, I. A. Blokhin, O. A. Mokienko, A. V. Vlаdzimirskiy, A. S. Belevskiy, D. N. Protsenko, M. A. Lysenko, O. V. Zayrаtyants, E. L. Nikonov

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Unraveling environmental influences on the spatial and temporal dynamics of cyanobacterial blooms in Lake Erhai during its early stage of eutrophication by Shangbo Yang, Jianzhong Lu, Xiaoling Chen, Xuejiao Hou, Zushuai Wei, Jinru Wu

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Safety, efficacy, and compliance of moderate-to-high dose eptinezumab and erenumab in chronic migraine patients with medication-overuse headache: an updated systematic review and m... by Nhan Nguyen, Vinh Ho Quang Tri, Vy Nguyen Ngoc Dan, Nghi Bao Tran, Laszlo Olah, Mate Heja

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Predicted vs. Observed Prosthesis–Patient Mismatch After Surgical Aortic Valve Replacement by Giorgia Cibin, Augusto D’Onofrio, Giulia Lorenzoni, Valentina Lombardi, Emma Bergonzoni, Assunta Fabozzo, Irene Cao, Andrea Francavilla, Chiara Tessari, Dario Gregori, Gino Gerosa

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Deep Learning Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes by Jalil Jalili, Evan Walker, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Massimo A. Fazio, Christopher A. Girkin, Carlos Gustavo De Moraes, Jeffrey M. Liebmann, Robert N. Weinreb, Linda M. Zangwill, Mark Christopher

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