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• Research PaperVolume 13, Issue 20pp 23471-23516

  Predicting physiological aging rates from a range of quantitative traits using machine learning

  Relevance score: 0.00

  Eric D. Sun, Yong Qian, Richard Oppong, Thomas J. Butler, Jesse Zhao, Brian H. Chen, Toshiko Tanaka, Jian Kang, Carlo Sidore, Francesco Cucca, Stefania Bandinelli, Gonçalo R. Abecasis, Myriam Gorospe, Luigi Ferrucci, David Schlessinger, Ilya Goldberg, Jun Ding

  Keywords: physiological aging rate, quantitative trait, machine learning, aging clock, mortality, personalized medicine

  Published in Aging on October 29, 2021

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• Research PaperVolume 12, Issue 7pp 5832-5857

  Development of a prognostic index and screening of potential biomarkers based on immunogenomic landscape analysis of colorectal cancer

  Relevance score: 0.00

  Kang Lin, Jun Huang, Hongliang Luo, Chen Luo, Xiaojian Zhu, Fanqin Bu, Han Xiao, Li Xiao, Zhengming Zhu

  Keywords: colorectal cancer, immunogenomic landscape, the cancer genome atlas, prognostic index, personalized medicine

  Published in Aging on March 31, 2020

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• EditorialVolume 11, Issue 4pp 1073-1074

  Lipid analysis in an aging population

  Relevance score: 0.00

  Vincent A. Pallazola, Vasanth Sathiyakumar, Seth S. Martin

  Keywords: low density lipoprotein cholesterol, triglycerides, Martin-Hopkins LDL-C equation, personalized medicine, aging

  Published in Aging on February 7, 2019

• Research PaperVolume 11, Issue 2pp 480-500

  Development of a prognostic index based on an immunogenomic landscape analysis of papillary thyroid cancer

  Relevance score: 0.00

  Peng Lin, Yi-nan Guo, Lin Shi, Xiao-jiao Li, Hong Yang, Yun He, Qing Li, Yi-wu Dang, Kang-lai Wei, Gang Chen

  Keywords: papillary thyroid cancer, immunogenomic landscape, The Cancer Genome Atlas, prognostic index, personalized medicine

  Published in Aging on January 20, 2019

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• Research PaperVolume 6, Issue 6pp 511-521

  The Dynamic Exome: acquired variants as individuals age

  Relevance score: 0.00

  Jasmin H. Bavarva, Hongseok Tae, Lauren McIver, Enusha Karunasena, Harold R. Garner

  Keywords: Aging, dynamic exome, exome sequencing, personalized genomics, personalized medicine

  Published in Aging on June 16, 2014

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• Research PaperVolume 12, Issue 16pp 16514-16538

  Coupled immune stratification and identification of therapeutic candidates in patients with lung adenocarcinoma

  Relevance score: 0.00

  Weilei Hu, Guosheng Wang, Yundi Chen, Lonny B. Yarmus, Biao Liu, Yuan Wan

  Keywords: personalized cancer immunotherapies, drug repositioning, cold tumor, patient stratification, tumor microenvironment

  Published in Aging on August 27, 2020

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• Research PaperVolume 15, Issue 23pp 14109-14140

  Machine learning algorithm integrates bulk and single-cell transcriptome sequencing to reveal immune-related personalized therapy prediction features for pancreatic cancer

  Relevance score: 0.00

  Longjun Zang, Baoming Zhang, Yanling Zhou, Fusheng Zhang, Xiaodong Tian, Zhongming Tian, Dongjie Chen, Qingwang Miao

  Keywords: pancreatic cancer, tumor immune microenvironment, prognostic signature, personalized treatment, single-cell sequencing

  Published in Aging on December 12, 2023

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• Research PaperVolume 13, Issue 6pp 7900-7913

  Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience

  Relevance score: 0.00

  Timothy V. Pyrkov, Ilya S. Sokolov, Peter O. Fedichev

  Keywords: biological age acceleration (BAA), public health, personalized interventions, Gompertz law, resilience

  Published in Aging on March 14, 2021

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• Research PaperVolume 16, Issue 2pp 1399-1413

  Identification of CD8⁺ T cell-related biomarkers and immune infiltration characteristic of rheumatoid arthritis

  Relevance score: 0.00

  Qizun Wang, Qianqian Li, Ronghuan Wang, Yanning Li, Jie Wang, Zhu Guo, Feng Li, Bohua Chen, Hongfei Xiang, Tianrui Wang, Xiaolin Wu

  Keywords: rheumatoid arthritis, immune infiltration, CD8⁺ T cells, machine learning, personalized therapy

  Published in Aging on January 16, 2024

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• Research PaperVolume 13, Issue 13pp 17655-17672

  Characterization of ferroptosis signature to evaluate the predict prognosis and immunotherapy in glioblastoma

  Relevance score: 0.00

  Xiaopeng Zhu, Yuxiang Zhou, Yangqian Ou, Zebo Cheng, Deqing Han, Zhou Chu, Sian Pan

  Keywords: ferroptosis, gene signature, glioblastoma prognosis, immune, personalized therapy

  Published in Aging on July 9, 2021

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