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Page: 12 of 2

• Research PaperVolume 15, Issue 24pp 14945-14956

  Imaging of brain clearance pathways via MRI assessment of the glymphatic system

  Relevance score: 0.00

  Yi He, Jitian Guan, Lingfeng Lai, Xiaolei Zhang, Beibei Chen, Xueqing Wang, Renhua Wu

  Keywords: aging, chemical exchange saturation transfer, deep cervical lymph node ligation, glymphatic system, magnetic resonance imaging

  Published in Aging on December 26, 2023

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• ReviewVolume 17, Issue 1pp 251-275

  Deep learning and generative artificial intelligence in aging research and healthy longevity medicine

  Relevance score: 0.00

  Dominika Wilczok

  Keywords: aging, generative artificial intelligence, deep learning, deep aging clocks, healthy longevity medicine

  Published in Aging on January 16, 2025

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• Research PaperVolume 12, Issue 21pp 21076-21090

  Downregulation of interleukin-6 and C-reactive protein underlies a novel inhibitory role of microRNA-136-5p in acute lower extremity deep vein thrombosis

  Relevance score: 0.00

  Minghui Ou, Shaobo Hao, Jing Chen, Shibo Zhao, Shichao Cui, Jie Tu

  Keywords: acute lower extremity deep vein thrombosis, microRNA-136-5p, interleukin-6

  Published in Aging on November 14, 2020

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• Research PaperVolume 12, Issue 7pp 6324-6339

  Anterior thalamic nucleus stimulation protects hippocampal neurons by activating autophagy in epileptic monkeys

  Relevance score: 0.00

  Ting-Ting Du, Guanyu Zhu, Yingchuan Chen, Lin Shi, Defeng Liu, Yuye Liu, Xin Zhang, Jianguo Zhang

  Keywords: epilepsy, deep brain stimulation, anterior thalamic nuclei, autophagy, brain-derived neurotrophic factor

  Published in Aging on April 8, 2020

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• ReviewVolume 11, Issue 22pp 10771-10780

  Deep biomarkers of aging and longevity: from research to applications

  Relevance score: 0.00

  Alex Zhavoronkov, Ricky Li, Candice Ma, Polina Mamoshina

  Keywords: artificial intelligence, aging clock, deep learning, deep aging clocks, aging biomarkers

  Published in Aging on November 25, 2019

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• Letter to the EditorVolume 8, Issue 9pp 2253-2255

  Deep biomarkers of aging are population-dependent

  Relevance score: 0.00

  Alan A. Cohen, Vincent Morissette-Thomas, Luigi Ferrucci, Linda P. Fried

  Keywords: aging, biomarker, biological age, deep neural network, epidemiology

  Published in Aging on September 8, 2016

• Research PaperVolume 8, Issue 5pp 1021-1030

  Deep biomarkers of human aging: Application of deep neural networks to biomarker development

  Relevance score: 0.00

  Evgeny Putin, Polina Mamoshina, Alexander Aliper, Mikhail Korzinkin, Alexey Moskalev, Alexey Kolosov, Alexander Ostrovskiy, Charles Cantor, Jan Vijg, Alex Zhavoronkov

  Keywords: deep learning, deep neural networks, biomarker development, aging biomarkers, human aging, machine learning

  Published in Aging on May 18, 2016

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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 16, Issue 8pp 6631-6651

  A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training

  Relevance score: 0.00

  Michael D. Roberts, Bradley A. Ruple, Joshua S. Godwin, Mason C. McIntosh, Shao-Yung Chen, Nicholas J. Kontos, Anthony Agyin-Birikorang, Max Michel, Daniel L. Plotkin, Madison L. Mattingly, Brooks Mobley, Tim N. Ziegenfuss, Andrew D. Fruge, Andreas N. Kavazis

  Keywords: skeletal muscle, deep proteomics, aging, resistance training

  Published in Aging on April 19, 2024

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• Research PaperVolume 12, Issue 23pp 23548-23577

  PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence

  Relevance score: 0.00

  Alex Zhavoronkov, Kirill Kochetov, Peter Diamandis, Maria Mitina

  Keywords: psychology of aging, subjective age, deep learning, artificial intelligence, aging clock

  Published in Aging on December 8, 2020

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• Research PaperVolume 11, Issue 17pp 6951-6959

  Kindlin-3 in platelets and myeloid cells differentially regulates deep vein thrombosis in mice

  Relevance score: 0.00

  Yanyan Yan, Hongqin Yang, Xiao Hu, Zeping Zhang, Shushu Ge, Zhen Xu, Juan Gao, Junling Liu, Gilbert C. White, Yan-Qing Ma

  Keywords: kindlin-3, platelets, neutrophils, deep vein thrombosis, NETs

  Published in Aging on August 31, 2019

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• Research PaperVolume 15, Issue 18pp 9293-9309

  Biomedical generative pre-trained based transformer language model for age-related disease target discovery

  Relevance score: 0.00

  Diana Zagirova, Stefan Pushkov, Geoffrey Ho Duen Leung, Bonnie Hei Man Liu, Anatoly Urban, Denis Sidorenko, Aleksandr Kalashnikov, Ekaterina Kozlova, Vladimir Naumov, Frank W. Pun, Ivan V. Ozerov, Alex Aliper, Alex Zhavoronkov

  Keywords: transformers, deep learning, therapeutic target discovery, aging biomarkers, human aging

  Published in Aging on September 22, 2023

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• Research PaperVolume 15, Issue 11pp 4649-4666

  Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery

  Relevance score: 0.00

  Anatoly Urban, Denis Sidorenko, Diana Zagirova, Ekaterina Kozlova, Aleksandr Kalashnikov, Stefan Pushkov, Vladimir Naumov, Viktoria Sarkisova, Geoffrey Ho Duen Leung, Hoi Wing Leung, Frank W. Pun, Ivan V. Ozerov, Alex Aliper, Feng Ren, Alex Zhavoronkov

  Keywords: transformers, deep learning, therapeutic target discovery, aging biomarkers, human aging

  Published in Aging on June 13, 2023

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• Research PaperVolume 15, Issue 9pp 3524-3537

  The feasibility of early detecting coronary artery disease using deep learning-based algorithm based on electrocardiography

  Relevance score: 0.00

  Panli Tang, Qi Wang, Hua Ouyang, Songran Yang, Ping Hua

  Keywords: artificial intelligence, deep learning, coronary artery disease, electrocardiography, diagnosis

  Published in Aging on May 1, 2023

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• Research PaperVolume 14, Issue 6pp 2475-2506

  Hallmarks of aging-based dual-purpose disease and age-associated targets predicted using PandaOmics AI-powered discovery engine

  Relevance score: 0.00

  Frank W. Pun, Geoffrey Ho Duen Leung, Hoi Wing Leung, Bonnie Hei Man Liu, Xi Long, Ivan V. Ozerov, Ju Wang, Feng Ren, Alexander Aliper, Evgeny Izumchenko, Alexey Moskalev, João Pedro de Magalhães, Alex Zhavoronkov

  Keywords: artificial intelligence, deep learning, drug discovery, multi-omics, target identification

  Published in Aging on March 29, 2022

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• Research PaperVolume 14, Issue 4pp 1665-1677

  A tandem segmentation-classification approach for the localization of morphological predictors of C. elegans lifespan and motility

  Relevance score: 0.00

  Evgeniy Galimov, Artur Yakimovich

  Keywords: aging, deep learning, Caenorhabditis elegans, interpretable machine learning, convolutional neural networks

  Published in Aging on February 25, 2022

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• Research PaperVolume 13, Issue 5pp 6918-6935

  LncRNA Sirt1-AS upregulates Sirt1 to attenuate aging related deep venous thrombosis

  Relevance score: 0.00

  Zhenkai Lou, Jinwen Zhu, Xing Li, Xingguo Li, Kaili Du, Bing Wang, Fan Zhang, Xinliang Zhang

  Keywords: long non-coding RNA Sirt1-AS, silent information regulator 1, deep vein thrombosis, senescence, human vascular endothelial cells

  Published in Aging on February 26, 2021

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• Research PaperVolume 13, Issue 2pp 3031-3044

  Triptolide improves neurobehavioral functions, inflammation, and oxidative stress in rats under deep hypothermic circulatory arrest

  Relevance score: 0.00

  Qiang Chen, Yu-Qing Lei, Jian-Feng Liu, Zeng-Chun Wang, Hua Cao

  Keywords: triptolide, deep hypothermia circulatory arrest (DHCA), neuroinflammation, oxidative stress, neurotrophins

  Published in Aging on January 19, 2021

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• Research PaperVolume 12, Issue 5pp 4506-4526

  LncRNA GUSBP5-AS promotes EPC migration and angiogenesis and deep vein thrombosis resolution by regulating FGF2 and MMP2/9 through the miR-223-3p/FOXO1/Akt pathway

  Relevance score: 0.00

  Li-Li Sun, Feng-Rui Lei, Xu-Dong Jiang, Xiao-Long Du, Lun Xiao, Wen-Dong Li, Xiao-Qiang Li

  Keywords: non-coding RNA, endothelial progenitor cells, deep vein thrombosis, angiogenesis, migration

  Published in Aging on March 10, 2020

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• Research PaperVolume 11, Issue 8pp 2447-2456

  Association between plasma macrophage migration inhibitor factor and deep vein thrombosis in patients with spinal cord injuries

  Relevance score: 0.00

  Dong-Mei Wu, Zi-Hui Zheng, Shan Wang, Xin Wen, Xin-Rui Han, Yong-Jian Wang, Min Shen, Shao-Hua Fan, Zi-Feng Zhang, Qun Shan, Meng-Qiu Li, Bin Hu, Yuan-Lin Zheng, Gui-Quan Chen, Jun Lu

  Keywords: macrophage migration inhibitory factor, deep vein thrombosis, spinal cord injuries, Chinese

  Published in Aging on April 29, 2019

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