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Page: 12345 of 5

• 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 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 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 Paper

  Classification patterns identification of immunogenic cell death-related genes in heart failure based on deep learning

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  Zhihui Ma, Shixin Ma, Bin Chen, Yongjun Zhang, Jinmei Zeng, Jianping Tao, Yu Hu

  Keywords: heart failure, subtype identification, encoder, biomarkers, diagnosis

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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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• 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 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 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 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 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 16, Issue 10pp 8717-8731

  Comprehensive clinical application analysis of artificial intelligence-enabled electrocardiograms for screening multiple valvular heart diseases

  Relevance score: 0.00

  Yu-Ting Lin, Chin-Sheng Lin, Chien-Sung Tsai, Dung-Jang Tsai, Yu-Sheng Lou, Wen-Hui Fang, Yung-Tsai Lee, Chin Lin

  Keywords: artificial intelligence, electrocardiogram, transthoracic echocardiography, deep learning, valvular heart disease

  Published in Aging on May 16, 2024

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• EditorialVolume 15, Issue 9pp 3219-3220

  Tracking the dynamics of cellular senescence

  Relevance score: 0.00

  Indra Heckenbach, Morten Scheibye-Knudsen

  Keywords: aging, cellular senescence, nuclear morphology, deep learning, quantitative senescence

  Published in Aging on April 17, 2023

• Research PaperVolume 9, Issue 11pp 2245-2268

  Towards natural mimetics of metformin and rapamycin

  Relevance score: 0.00

  Alexander Aliper, Leslie Jellen, Franco Cortese, Artem Artemov, Darla Karpinsky-Semper, Alexey Moskalev, Andrew G. Swick, Alex Zhavoronkov

  Keywords: geroprotector, metformin, rapamycin, deep learning, natural, nutraceutical, compound screening

  Published in Aging on November 15, 2017

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• Research PaperVolume 14, Issue 3pp 1280-1291

  Predicting neuropsychiatric symptoms of persons with dementia in a day care center using a facial expression recognition system

  Relevance score: 0.00

  Liang-Yu Chen, Tsung-Hsien Tsai, Andy Ho, Chun-Hsien Li, Li-Ju Ke, Li-Ning Peng, Ming-Hsien Lin, Fei-Yuan Hsiao, Liang-Kung Chen

  Keywords: artificial intelligence, behavioral and psychological symptoms of dementia, dementia, facial expression recognition system, machine learning

  Published in Aging on February 3, 2022

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• Research PaperVolume 13, Issue 2pp 1765-1772

  Screening of Alzheimer’s disease by facial complexion using artificial intelligence

  Relevance score: 0.00

  Yumi Umeda-Kameyama, Masashi Kameyama, Tomoki Tanaka, Bo-Kyung Son, Taro Kojima, Makoto Fukasawa, Tomomichi Iizuka, Sumito Ogawa, Katsuya Iijima, Masahiro Akishita

  Keywords: artificial intelligence, face, dementia, machine learning

  Published in Aging on January 25, 2021

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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 14, Issue 12pp 4935-4958

  Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability

  Relevance score: 0.00

  Fedor Galkin, Kirill Kochetov, Michelle Keller, Alex Zhavoronkov, Nancy Etcoff

  Keywords: self-organizing maps, well-being, aging, artificial intelligence, depression

  Published in Aging on June 20, 2022

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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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• 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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