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Page: 12 of 2

• Research PaperVolume 15, Issue 8pp 3120-3140

  An artificial neural network model to diagnose non-obstructive azoospermia based on RNA-binding protein-related genes

  Relevance score: 0.00

  Fan Peng, Bahaerguli Muhuitijiang, Jiawei Zhou, Haoyu Liang, Yu Zhang, Ranran Zhou

  Keywords: machine learning, artificial neural network, diagnosis, non-obstructive azoospermia, RNA-binding protein

  Published in Aging on April 24, 2023

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• Research PaperVolume 13, Issue 10pp 14170-14184

  Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks

  Relevance score: 0.00

  Qiongxiu Zhou, Xiaohan You, Haiyan Dong, Zhe Lin, Yanling Shi, Zhen Su, Rongrong Shao, Chaosheng Chen, Ji Zhang

  Keywords: all-cause mortality, peritoneal dialysis, artificial neural networks, age, risk factors

  Published in Aging on May 13, 2021

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• Research PaperVolume 12, Issue 24pp 26221-26235

  Construction and analysis of a joint diagnosis model of random forest and artificial neural network for heart failure

  Relevance score: 0.00

  Yuqing Tian, Jiefu Yang, Ming Lan, Tong Zou

  Keywords: difference analysis, heart failure, artificial neural network, random forest

  Published in Aging on December 26, 2020

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• Research PaperVolume 12, Issue 20pp 20471-20482

  Development of a susceptibility gene based novel predictive model for the diagnosis of ulcerative colitis using random forest and artificial neural network

  Relevance score: 0.00

  Hanyang Li, Lijie Lai, Jun Shen

  Keywords: ulcerative colitis, predictive model, susceptibility genes, random forest, artificial neural network

  Published in Aging on October 24, 2020

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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 22pp 12699-12701

  Artificial intelligence for aging research in cancer drug development

  Relevance score: 0.00

  Dorsa Shirini, Lawrence H. Schwartz, Laurent Dercle

  Keywords: artificial intelligence, aging, cancer research

  Published in Aging on November 18, 2023

• 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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• EditorialVolume 15, Issue 8pp 2815-2816

  Artificial intelligence and the aging mind

  Relevance score: 0.00

  Jeyeon Lee, Leland R. Barnard, David T. Jones

  Keywords: brain age, artificial intelligence, Alzheimer’s dementia, neurodegenerative disease, biomarker

  Published in Aging on April 3, 2023

• 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 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 5pp 7361-7381

  Artificial intelligence prediction model for overall survival of clear cell renal cell carcinoma based on a 21-gene molecular prognostic score system

  Relevance score: 0.00

  Qiliang Peng, Yi Shen, Kai Fu, Zheng Dai, Lu Jin, Dongrong Yang, Jin Zhu

  Keywords: clear cell renal cell carcinoma, prognosis, artificial intelligence, scoring system

  Published in Aging on March 3, 2021

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• Research PaperVolume 13, Issue 3pp 3313-3341

  Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues

  Relevance score: 0.00

  Daniel Palmer, Fabio Fabris, Aoife Doherty, Alex A. Freitas, João Pedro de Magalhães

  Keywords: Artificial Intelligence, functional genomics, machine learning, microarray, mitochondria

  Published in Aging on February 11, 2021

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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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• 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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• 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 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 16, Issue 20pp 12955-12976

  Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity

  Relevance score: 0.00

  Yu-Xuan Lyu, Qiang Fu, Dominika Wilczok, Kejun Ying, Aaron King, Adam Antebi, Aleksandar Vojta, Alexandra Stolzing, Alexey Moskalev, Anastasia Georgievskaya, Andrea B. Maier, Andrea Olsen, Anja Groth, Anna Katharina Simon, Anne Brunet, Aisyah Jamil, Anton Kulaga, Asif Bhatti, Benjamin Yaden, Bente Klarlund Pedersen, Björn Schumacher, Boris Djordjevic, Brian Kennedy, Chieh Chen, Christine Yuan Huang, Christoph U. Correll, Coleen T. Murphy, Collin Y. Ewald, Danica Chen, Dario Riccardo Valenzano, Dariusz Sołdacki, David Erritzoe, David Meyer, David A. Sinclair, Eduardo Nunes Chini, Emma C. Teeling, Eric Morgen, Eric Verdin, Erik Vernet, Estefano Pinilla, Evandro F. Fang, Evelyne Bischof, Evi M. Mercken, Fabian Finger, Folkert Kuipers, Frank W. Pun, Gabor Gyülveszi, Gabriele Civiletto, Garri Zmudze, Gil Blander, Harold A. Pincus, Joshua McClure, James L. Kirkland, James Peyer, Jamie N. Justice, Jan Vijg, Jennifer R. Gruhn, Jerry McLaughlin, Joan Mannick, João Passos, Joseph A. Baur, Joe Betts-LaCroix, John M. Sedivy, John R. Speakman, Jordan Shlain, Julia von Maltzahn, Katrin I. Andreasson, Kelsey Moody, Konstantinos Palikaras, Kristen Fortney, Laura J. Niedernhofer, Lene Juel Rasmussen, Liesbeth M. Veenhoff, Lisa Melton, Luigi Ferrucci, Marco Quarta, Maria Koval, Maria Marinova, Mark Hamalainen, Maximilian Unfried, Michael S. Ringel, Milos Filipovic, Mourad Topors, Natalia Mitin, Nawal Roy, Nika Pintar, Nir Barzilai, Paolo Binetti, Parminder Singh, Paul Kohlhaas, Paul D. Robbins, Paul Rubin, Peter O. Fedichev, Petrina Kamya, Pura Muñoz-Canoves, Rafael de Cabo, Richard G. A. Faragher, Rob Konrad, Roberto Ripa, Robin Mansukhani, Sabrina Büttner, Sara A. Wickström, Sebastian Brunemeier, Sergey Jakimov, Shan Luo, Sharon Rosenzweig-Lipson, Shih-Yin Tsai, Stefanie Dimmeler, Thomas A. Rando, Tim R. Peterson, Tina Woods, Tony Wyss-Coray, Toren Finkel, Tzipora Strauss, Vadim N. Gladyshev, Valter D. Longo, Varun B. Dwaraka, Vera Gorbunova, Victoria A. Acosta-Rodríguez, Vincenzo Sorrentino, Vittorio Sebastiano, Wenbin Li, Yousin Suh, Alex Zhavoronkov, Morten Scheibye-Knudsen, Daniela Bakula

  Keywords: biotechnology, artificial intelligence, healthy longevity

  Published in Aging on October 16, 2024

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• Research PaperVolume 14, Issue 10pp 4326-4335

  Sperm DNA integrity is critically impacted by male age but does not influence outcomes of artificial insemination by husband in the Chinese infertile couples

  Relevance score: 0.00

  Yumei Luo, Shunhong Wu, Mimi Zhang, Hua Zhou, Jingru Yuan, Yiying Yang, Yufang Zhong, Qing Li, Xiaofang Sun, Xia Xu, Detu Zhu

  Keywords: sperm chromatin structure assay, spermatozoon DNA fragmentation index, high DNA stainability, male age, artificial insemination by husband

  Published in Aging on May 17, 2022

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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 20pp 11244-11267

  CDKN2A was a cuproptosis-related gene in regulating chemotherapy resistance by the MAGE-A family in breast cancer: based on artificial intelligence (AI)-constructed pan-cancer risk model

  Relevance score: 0.00

  Hong Wan, Xiaowei Yang, Guopeng Sang, Zhifan Ruan, Zichen Ling, Mingzhao Zhang, Chang Liu, Xiangyang Hu, Tao Guo, Juntong He, Defeng Liu, Jing Pei

  Keywords: cuproptosis, CDKN2A, breast cancer, artificial intelligence (AI), model

  Published in Aging on October 19, 2023

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