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Page: 1234 of 4

• Research PaperVolume 13, Issue 4pp 5332-5341

  A novel risk model to predict first-ever ischemic stroke in heart failure with reduced ejection fraction

  Relevance score: 0.00

  Xiaodong Zhou, Lingfang Yu, Weizhen Hu, Ruiyu Shi, Yinan Ji, Changzuan Zhou, Chenglong Xue, Guojia Yu, Weijian Huang, Peiren Shan

  Keywords: predictors, score model, heart failure with reduced ejection fraction, ischemic stroke

  Published in Aging on February 1, 2021

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• Research PaperVolume 13, Issue 2pp 1608-1619

  Predicting severe or critical symptoms in hospitalized patients with COVID-19 from Yichang, China

  Relevance score: 0.00

  Xin Chen, Feng Peng, Xiaoni Zhou, Jiang Zhu, Xin Chen, Yingying Gong, Wang Shupeng, Wenquan Niu

  Keywords: COVID-19, severe or critical symptoms, nomogram, prediction, risk

  Published in Aging on December 9, 2020

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• Research PaperVolume 11, Issue 3pp 974-985

  Predicting chromosome 1p/19q codeletion by RNA expression profile: a comparison of current prediction models

  Relevance score: 0.00

  Zhi-liang Wang, Zheng Zhao, Zheng Wang, Chuan-bao Zhang, Tao Jiang

  Keywords: oligodendroglioma, 1p/19q codeletion, prediction, smoother, method

  Published in Aging on February 2, 2019

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• Research PaperVolume 15, Issue 12pp 5240-5265

  Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis

  Relevance score: 0.00

  Jérôme Salignon, Omid R. Faridani, Tasso Miliotis, Georges E. Janssens, Ping Chen, Bader Zarrouki, Rickard Sandberg, Pia Davidsson, Christian G. Riedel

  Keywords: human blood plasma, small RNAs, proteomics, aging, age prediction

  Published in Aging on June 20, 2023

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• Research PaperVolume 13, Issue 13pp 17137-17154

  Machine-intelligence for developing a potent signature to predict ovarian response to tailor assisted reproduction technology

  Relevance score: 0.00

  Sisi Yan, Wenyi Jin, Jinli Ding, Tailang Yin, Yi Zhang, Jing Yang

  Keywords: machine learning, prediction model, assisted reproduction technology, poor ovarian response

  Published in Aging on May 17, 2021

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• Research PaperVolume 13, Issue 6pp 8817-8834

  Accurate prediction of acute pancreatitis severity with integrative blood molecular measurements

  Relevance score: 0.00

  Hong-Wei Sun, Jing-Yi Lu, Yi-Xin Weng, Hao Chen, Qi-Ye He, Rui Liu, Hui-Ping Li, Jing-Ye Pan, Ke-Qing Shi

  Keywords: severe acute pancreatitis, venous blood markers, prediction of severity, machine learning

  Published in Aging on March 10, 2021

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• Research PaperVolume 12, Issue 4pp 3747-3770

  Development of a four-gene prognostic model for pancreatic cancer based on transcriptome dysregulation

  Relevance score: 0.00

  Jie Yan, Liangcai Wu, Congwei Jia, Shuangni Yu, Zhaohui Lu, Yueping Sun, Jie Chen

  Keywords: prognostic prediction model, pancreatic cancer, TCGA, robust rank aggregation, WGCNA

  Published in Aging on February 20, 2020

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• Research PaperVolume 10, Issue 5pp 1015-1026

  Age prediction of children and adolescents aged 6-17 years: an epigenome-wide analysis of DNA methylation

  Relevance score: 0.00

  Chunxiao Li, Wenjing Gao, Ying Gao, Canqing Yu, Jun Lv, Ruoran Lv, Jiali Duan, Ying Sun, Xianghui Guo, Weihua Cao, Liming Li

  Keywords: aging, DNA methylation, children, adolescent, prediction, Illumina Infinium MethylationEPIC Beadchip

  Published in Aging on May 12, 2018

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• Research PaperVolume 16, Issue 9pp 8246-8259

  Construction and validation of nomogram model for predicting the risk of ventricular arrhythmia after emergency PCI in patients with acute myocardial infarction

  Relevance score: 0.00

  Wei Wang, Min Chen, Jiongchao Guo, Yuqi Wang, Jing Zhang

  Keywords: AMI (acute myocardial infarction), PCI (percutaneous coronary intervention), ventricular arrhythmia, predictive model

  Published in Aging on May 10, 2024

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• Research PaperVolume 16, Issue 5pp 4654-4669

  Explainable machine learning in outcome prediction of high-grade aneurysmal subarachnoid hemorrhage

  Relevance score: 0.00

  Lei Shu, Hua Yan, Yanze Wu, Tengfeng Yan, Li Yang, Si Zhang, Zhihao Chen, Qiuye Liao, Lu Yang, Bing Xiao, Minhua Ye, Shigang Lv, Miaojing Wu, Xingen Zhu, Ping Hu

  Keywords: aneurysmal subarachnoid hemorrhage, high-grade, explainable machine learning, SHapley additive exPlanations, prognosis prediction

  Published in Aging on March 1, 2024

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• Research PaperVolume 16, Issue 2pp 1696-1711

  Therapeutic strategies and predictive models for Xp11.2 translocation/TFE3 gene fusion renal cell carcinoma in adults based on data of two Chinese medical centers

  Relevance score: 0.00

  Yunkai Yang, Changfeng Zhao, Zhida Wang, Feng Liu, Ming Zhao, Huiwen Yang, Jun Chen, Xuejing Chen, Min Shi, Dixing Jiang, Xiaoting Luo, Yue Duan, Yuchen Bai

  Keywords: rare cancer, TFE3-RCC, Xp11.2 translocation, predict, prognosis

  Published in Aging on January 22, 2024

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• Research PaperVolume 14, Issue 2pp 789-799

  A dynamic model to predict long-term outcomes in patients with prolonged disorders of consciousness

  Relevance score: 0.00

  Junwei Kang, Lianghua Huang, Yunliang Tang, Gengfa Chen, Wen Ye, Jun Wang, Zhen Feng

  Keywords: prognosis, clinical prediction, disorders of consciousness, nomogram

  Published in Aging on January 19, 2022

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• Research PaperVolume 13, Issue 2pp 1989-2014

  Screening and functional prediction of differentially expressed circular RNAs in human glioma of different grades

  Relevance score: 0.00

  Xiuchao Geng, Yuhao Zhang, Qiang Li, Wang Xi, Wentao Yu, Liang Shi, Xiaomeng Lin, Shaoguang Sun, Hong Wang

  Keywords: circRNA, glioma, RNA sequencing, functional prediction

  Published in Aging on December 11, 2020

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• Research PaperVolume 13, Issue 2pp 1972-1988

  Plasma cytokines for predicting diabetic retinopathy among type 2 diabetic patients via machine learning algorithms

  Relevance score: 0.00

  Bin Cao, Ning Zhang, Yuanyuan Zhang, Ying Fu, Dong Zhao

  Keywords: plasma cytokines, diabetic retinopathy, machine learning algorithms, type 2 diabetes mellitus, prediction model

  Published in Aging on December 11, 2020

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• Research PaperVolume 12, Issue 11pp 10317-10336

  Nomogram for the prediction of diabetic nephropathy risk among patients with type 2 diabetes mellitus based on a questionnaire and biochemical indicators: a retrospective study

  Relevance score: 0.00

  Yuhong Hu, Rong Shi, Ruohui Mo, Fan Hu

  Keywords: diabetic nephropathy, predictors, nomogram, type 2 diabetes mellitus, risk factors

  Published in Aging on June 2, 2020

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• Research PaperVolume 11, Issue 22pp 10031-10051

  DNA methylation profile is a quantitative measure of biological aging in children

  Relevance score: 0.00

  Xiaohui Wu, Weidan Chen, Fangqin Lin, Qingsheng Huang, Jiayong Zhong, Huan Gao, Yanyan Song, Huiying Liang

  Keywords: children, biological age, prediction, methylation, age-related diseases

  Published in Aging on November 22, 2019

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• Research PaperVolume 10, Issue 11pp 3249-3259

  PhotoAgeClock: deep learning algorithms for development of non-invasive visual biomarkers of aging

  Relevance score: 0.00

  Eugene Bobrov, Anastasia Georgievskaya, Konstantin Kiselev, Artem Sevastopolsky, Alex Zhavoronkov, Sergey Gurov, Konstantin Rudakov, Maria del Pilar Bonilla Tobar, Sören Jaspers, Sven Clemann

  Keywords: photographic aging clock, photographic aging biomarker, age prediction, biomedical imaging, computer vision, deep learning

  Published in Aging on November 9, 2018

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• Research PaperVolume 8, Issue 5pp 1034-1044

  Epigenetic age predictions based on buccal swabs are more precise in combination with cell type-specific DNA methylation signatures

  Relevance score: 0.00

  Monika Eipel, Felix Mayer, Tanja Arent, Marcelo R. P. R.P. Ferreira, Carina Birkhofer, Uwe Gerstenmaier, Ivan G. G. Costa, Stefanie Ritz-Timme, Wolfgang Wagner

  Keywords: aging, predictor, epigenetic, methylation, swab, cell composition, epithelial cells

  Published in Aging on May 31, 2016

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• Research PaperVolume 6, Issue 5pp 414-427

  Short leukocyte telomere length predicts incidence and progression of carotid atherosclerosis in American Indians: The Strong Heart Family Study

  Relevance score: 0.00

  Shufeng Chen, Jue Lin, Tet Matsuguchi, Elizabeth Blackburn, Fawn Yeh, Lyle G. Best, Richard B. Devereux, Elisa T. Lee, Barbara V. Howard, Mary J. Roman, Jinying Zhao

  Keywords: leukocyte telomere length, carotid atherosclerosis, risk prediction, American Indians, Strong Heart Study

  Published in Aging on May 28, 2014

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• Research PaperVolume 16, Issue 11pp 10142-10164

  Prognostic implication and immunotherapy response prediction of a novel ubiquitination-related gene signature in liver cancer

  Relevance score: 0.00

  Re-Guang Pan, Jingyao Zhou, Xiao-Wu Wang, Xi-Kai Cen, Yu-Ping Zhou, Yang-Yang Guo, Xue-Feng Feng

  Keywords: ubiquitination, liver cancer, gene signature, prediction, prognosis, response to immunotherapy

  Published in Aging on June 12, 2024

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