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Page: 123 of 3

• 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 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 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 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 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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• Research PaperVolume 14, Issue 19pp 8095-8109

  Development and assessment of diabetic nephropathy prediction model using hub genes identified by weighted correlation network analysis

  Relevance score: 0.00

  Xuelian Zhang, Yao Wang, Zhaojun Yang, Xiaoping Chen, Jinping Zhang, Xin Wang, Xian Jin, Lili Wu, Xiaoyan Xing, Wenying Yang, Bo Zhang

  Keywords: diabetic nephropathy, prediction model, risk factors, weighted correlation network analysis

  Published in Aging on October 14, 2022

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• Research PaperVolume 13, Issue 12pp 16600-16619

  Development and validation of a risk prediction model and nomogram for colon adenocarcinoma based on methylation-driven genes

  Relevance score: 0.00

  Liangyu Zhu, Hongyu Sun, Guo Tian, Juan Wang, Qian Zhou, Pu Liu, Xuejiao Tang, Xinrui Shi, Lei Yang, Guangjie Liu

  Keywords: DNA methylation, colon adenocarcinoma, risk prediction model, nomogram, TCGA

  Published in Aging on June 28, 2021

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• Research PaperVolume 12, Issue 19pp 18822-18832

  Development and validation of a prediction model for early identification of critically ill elderly COVID-19 patients

  Relevance score: 0.00

  Jue Liu, Liyuan Tao, Zhancheng Gao, Rongmeng Jiang, Min Liu

  Keywords: coronavirus disease, COVID-19, elderly patients, prediction model, critically ill

  Published in Aging on October 6, 2020

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• Research PaperVolume 11, Issue 16pp 6312-6335

  Trans-omics biomarker model improves prognostic prediction accuracy for early-stage lung adenocarcinoma

  Relevance score: 0.00

  Xuesi Dong, Ruyang Zhang, Jieyu He, Linjing Lai, Raphael N. Alolga, Sipeng Shen, Ying Zhu, Dongfang You, Lijuan Lin, Chao Chen, Yang Zhao, Weiwei Duan, Li Su, Andrea Shafer, Moran Salama, Thomas Fleischer, Maria Moksnes Bjaanæs, Anna Karlsson, Maria Planck, Rui Wang, Johan Staaf, Åslaug Helland, Manel Esteller, Yongyue Wei, Feng Chen, David C. Christiani

  Keywords: early-stage, lung adenocarcinoma, DNA methylation, gene expression, prognostic prediction

  Published in Aging on August 21, 2019

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• Research PaperVolume 17, Issue 7pp 1679-1701

  The influence of cancer on a forensic age estimation tool

  Relevance score: 0.00

  Charlotte Sutter, Daniel Helbling, Cordula Haas, Jacqueline Neubauer

  Keywords: forensic age estimation, age prediction, cancer, DNA methylation, age acceleration

  Published in Aging on July 17, 2025

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• Research PaperVolume 16, Issue 5pp 4920-4942

  Establishment of an immunogenic cell death-related model for prognostic prediction and identification of therapeutic targets in endometrial carcinoma

  Relevance score: 0.00

  Zhenran Liu, Yue Huang, Pin Zhang, Chen Yang, Yujie Wang, Yaru Yu, Huifen Xiang

  Keywords: endometrial carcinoma, immunogenic cell death, prediction, immune microenvironment, immunotherapy

  Published in Aging on March 8, 2024

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• Research PaperVolume 16, Issue 5pp 4075-4094

  Genome-wide transcriptome profiling and development of age prediction models in the human brain

  Relevance score: 0.00

  Joseph A. Zarrella, Amy Tsurumi

  Keywords: aging, machine learning, prediction model, biomarker, transcriptome

  Published in Aging on February 28, 2024

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• Research PaperVolume 14, Issue 24pp 10107-10124

  A comprehensive analysis of the FOX family for predicting kidney renal clear cell carcinoma prognosis and the oncogenic role of FOXG1

  Relevance score: 0.00

  Wenjie Yang, Hualin Chen, Lin Ma, Jie Dong, Mengchao Wei, Xiaoqiang Xue, Yingjie Li, Zhaoheng Jin, Weifeng Xu, Zhigang Ji

  Keywords: KIRC, prognosis prediction, FOX gene family, nomogram, immunotherapy, FOXG1

  Published in Aging on December 29, 2022

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• Research PaperVolume 14, Issue 10pp 4270-4280

  Identification of combined biomarkers for predicting the risk of osteoporosis using machine learning

  Relevance score: 0.00

  Zhenlong Zheng, Xianglan Zhang, Bong-Kyeong Oh, Ki-Yeol Kim

  Keywords: osteoporosis, risk prediction, gene expression, combined biomarker, machine learning

  Published in Aging on May 17, 2022

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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 9pp 13195-13210

  Morphology-based radiomics signature: a novel determinant to identify multiple intracranial aneurysms rupture

  Relevance score: 0.00

  Xin Tong, Xin Feng, Fei Peng, Hao Niu, Baorui Zhang, Fei Yuan, Weitao Jin, Zhongxue Wu, Yuanli Zhao, Aihua Liu, Daming Wang

  Keywords: intracranial aneurysm, risk prediction, radiomics signature, radiomics features, nomogram

  Published in Aging on May 10, 2021

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