AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs by Emily Wittrup, John Reavey-Cantwell, Aditya S. Pandey, Dennis J. Rivet II, Kayvan Najarian

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A compact encoding of the genome suitable for machine learning prediction of traits and genetic risk scores by Yasaman Fatapour, James P. Brody

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MaxComp: Predicting single-cell chromatin compartments from 3D chromosome structures. by Yuxiang Zhan, Francesco Musella, Frank Alber

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Assessing the performance of 28 pathogenicity prediction methods on rare single nucleotide variants in coding regions by Jee Yeon Heo, Ju Han Kim

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Prediction and optimization of stretch flangeability of advanced high strength steels utilizing machine learning approaches by Tianyang Li, Zheng Yang, Junyi Cui, Wenjie Chen, Rami Almatani, Yingjie Wu

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Immune response in a wild bird is predicted by oxidative status, but does not cause oxidative stress. by Dominic L Cram, Jonathan D Blount, Jennifer E York, Andrew J Young

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Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder by Ameet Shah, Dhanpratap Singh, Heba G. Mohamed, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

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Modeling Price Dynamics and Risk Forecasting in Tehran Stock Exchange Market: Nonlinear and Non-gaussian Models of Stochastic Volatility by Moslem Nilchi, Daryush Farid

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On-chip 3D potency assay for prediction of clinical outcomes for cell therapy candidates for osteoarthritis by Rebecca S. Schneider, Elisa B. Nieves, Bhavay Aggarwal, Annie C. Bowles-Welch, Hazel Y. Stevens, Linda E. Kippner, Scott D. Boden, Kenneth Mautner, Hicham Drissi, Krishnendu Roy, Wilbur A. Lam, Saurabh Sinha, Andrés J. García

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Resolving conceptual and practical gaps in current child well-being models through the holistic well-being model for children by Sepideh Navidmanesh, Maryam Kadkhodaee, Leili Ghadirinokabadi, Alireza Emamifar

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Genomic scarring score predicts the response to PARP inhibitors in non-small cell lung cancer by Katerina Tsilingiri, Anna Chalari, Georgia Christopoulou, Alexandra Voutsina, Pantelis Constantoulakis, Κonstantinos Potaris, Ioannis Vamvakaris, Dora Hatzidaki, Georgina Zachou, Giannis Vatsellas, Vassilis Georgoulias, Athanasios Kotsakis, Apostolos Klinakis

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A Fast Forward Prediction Framework for Energy Materials Design Based on Machine Learning Methods by Xinhua Liu, Kaiyi Yang, Lisheng Zhang, Wentao Wang, Sida Zhou, Billy Wu, Mengyu Xiong, Shichun Yang, Rui Tan

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Comparison of frailty instruments for predicting mortality and prolon ged hospitalization in acute coronary syndrome patients. by Anne Langsted, Jocelyne Benatar, Andrew Kerr, Katherine Bloomfield, Gerry Devlin, Alexander Sasse, David Smythe, Andrew To, Harvey White, Gerrard Wilkins, Ralph Stewart

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Non-Destructive Prediction of Apple Moisture Content Using Thermal Diffusivity Phenomics for Quality Assessment by Jung-Kyu Lee, Moon-Kyung Kang, Dong-Hoon Lee

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512 Predicting outcomes of lifestyle and stress reduction interventions for obesity with DNA methylation and psychological measures by Zachary Harvanek, Celine Li, Ke Xu, Ania Jastreboff, Rajita Sinha

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Dynamic behavior analysis of copper wire for predicting defects in the winding process of a motor coil by Masato NAGANO, Taichi HIROSAWA, Hidefumi WAKAMATSU, Yoshiharu IWATA, Hironori SUZUKI, Takumi NAKAUE, Takahiro TANAKA

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Predictive value of magnetic resonance angiography combined with serum ischemia-modified albumin for secondary cerebral infarction after transient ischemic attack by Lige Liu, Qiuyue Yan, Jingyi Ai, Rudong Jiao, Meng Li

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Predictive value of cardiovascular risk factors in the formation of cardiovascular and all-cause mortality: results of a 27-year cohort prospective study by I. V. Dolgalev, A. Yu. Ivanova, R. S. Karpov

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High expression of C-X-C chemokine receptor 4 and Notch1 is predictive of lymphovascular invasion and poor prognosis in lung adenocarcinoma by Zhuangzhuang Cong, Haiwei Wu, Zhong Guo, Tao Qin, Yang Xu, Hua Jing, Yanqing Wang, Yi Shen

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Evaluation of placental growth factor, Vitamin D, and systemic inflammatory index as predictive biomarkers for preeclampsia severity: a retrospective cohort study by Xiaoyan Han, Hua Yang

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