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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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• 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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• 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 PerspectiveVolume 12, Issue 8pp 6492-6510

  Geroprotective and senoremediative strategies to reduce the comorbidity, infection rates, severity, and lethality in gerophilic and gerolavic infections

  Relevance score: 0.00

  Alex Zhavoronkov

  Keywords: COVID-19, SARS-CoV-2, coronavirus, sirolimus, rapalog

  Published in Aging on March 31, 2020

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• Research PaperVolume 14, Issue 18pp 7206-7222

  Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults

  Relevance score: 0.00

  Fedor Galkin, Kirill Kochetov, Diana Koldasbayeva, Manuel Faria, Helene H. Fung, Amber X. Chen, Alex Zhavoronkov

  Keywords: psychological aging, lifespan psychology, aging clocks, longevity

  Published in Aging on September 27, 2022

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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 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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• ReviewVolume 12, Issue 18pp 18765-18777

  Psychological aging, depression, and well-being

  Relevance score: 0.00

  Maria Mitina, Sergey Young, Alex Zhavoronkov

  Keywords: psychological age, subjective age, biological age, depression, well-being

  Published in Aging on September 18, 2020

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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 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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• Editorial CommentVolume 4, Issue 2pp 74-75

  Mitochondrial dysfunction and cell senescence — skin deep into mammalian aging

  Relevance score: 0.00

  Joao F. Passos, Thomas von Zglinicki

  Published in Aging on February 12, 2012

• Research PaperVolume 5, Issue 2pp 130-141

  Deep sequencing identifies circulating mouse miRNAs that are functionally implicated in manifestations of aging and responsive to calorie restriction

  Relevance score: 0.00

  Joseph M Dhahbi, Stephen R Spindler, Hani Atamna, Amy Yamakawa, Noel Guerrero, Dario Boffelli, Patricia Mote, David IK Martin

  Keywords: Aging, calorie restriction, circulating miRNAs, serum, small RNAs

  Published in Aging on February 28, 2013

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• 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 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 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 6, Issue 6pp 454-467

  Transmission from centenarians to their offspring of mtDNA heteroplasmy revealed by ultra-deep sequencing

  Relevance score: 0.00

  Cristina Giuliani, Chiara Barbieri, Mingkun Li, Laura Bucci, Daniela Monti, Giuseppe Passarino, Donata Luiselli, Claudio Franceschi, Mark Stoneking, Paolo Garagnani

  Keywords: mtDNA heteroplasmy, longevity, aging, transmission, centenarians

  Published in Aging on May 13, 2014

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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 13, Issue 4pp 4831-4849

  An aging and p53 related marker: HOXA5 promoter methylation negatively correlates with mRNA and protein expression in old age

  Relevance score: 0.00

  Laura-Kim Feiner, Sascha Tierling, Sebastian Holländer, Matthias Glanemann, Claudia Rubie

  Keywords: ageing, DNA methylation, HOXA5, p53, gene expression

  Published in Aging on February 5, 2021

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• Meeting ReportVolume 11, Issue 22pp 9971-9981

  Latest advances in aging research and drug discovery

  Relevance score: 0.00

  Daniela Bakula, Andrea Ablasser, Adriano Aguzzi, Adam Antebi, Nir Barzilai, Martin-Immanuel Bittner, Martin Borch Jensen, Cornelis F. Calkhoven, Danica Chen, Aubrey D.N.J. de Grey, Jerome N. Feige, Anastasia Georgievskaya, Vadim N. Gladyshev, Tyler Golato, Andrei V. Gudkov, Thorsten Hoppe, Matt Kaeberlein, Pekka Katajisto, Brian K. Kennedy, Unmesh Lal, Ana Martin-Villalba, Alexey A. Moskalev, Ivan Ozerov, Michael A. Petr, Reason, David C. Rubinsztein, Alexander Tyshkovskiy, Quentin Vanhaelen, Alex Zhavoronkov, Morten Scheibye-Knudsen

  Keywords: aging, drug discovery, artificial intelligence

  Published in Aging on November 21, 2019

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• Research PaperVolume 12, Issue 4pp 3828-3847

  Ancestral stress programs sex-specific biological aging trajectories and non-communicable disease risk

  Relevance score: 0.00

  Mirela Ambeskovic, Yaroslav Ilnytskyy, Douglas Kiss, Cheryl Currie, Tony Montina, Igor Kovalchuk, Gerlinde A.S. Metz

  Keywords: sexual dimorphism, epigenetic regulation, prenatal stress, longevity, non-communicable disease

  Published in Aging on February 22, 2020

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