A review of the biomedical innovations for healthy longevity
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Aging | doi:10.18632/aging.101163. Alexey Moskalev, Vladimir Anisimov, Aleksander Aliper, Artem Artemov, Khusru Asadullah, Daniel Belsky, Ancha Baranova, Aubrey de Grey, Vishwa Deep Dixit, Edouard Debonneuil, Eugenia Dobrovolskaya, Peter Fedichev, Alexander Fedintsev, Vadim Fraifeld, Claudio Franceschi, Rosie Freer, Tamas Fülöp, Jerome Feige, David Gems, Vadim Gladyshev, Vera Gorbunova, Irina Irincheeva, Sibylle Jager, S. Michal Jazwinski, Matt Kaeberlein, Brian Kennedy, Daria Khaltourina, Igor Kovalchuk, Olga Kovalchuk, Sergey Kozin, Alexander Kulminski, Ekaterina Lashmanova, Ksenia Lezhnina, Guang-Hui Liu, Valter Longo, Polina Mamoshina, Alexander Maslov, Joao Pedro de Magalhaes, James Mitchell, Arnold Mitnitski, Yuri Nikolsky, Ivan Ozerov, Elena Pasyukova, Darya Peregudova, Vasily Popov, Ekaterina Proshkina, Evgeny Putin, Evgeny Rogaev, Blanka Rogina, Jane Schastnaya, Andrey Seluanov, Mikhail Shaposhnikov, Andreas Simm, Vladimir Skulachev, Maxim Skulachev, Ilya Solovev, Stephen Spindler, Natalia Stefanova, Yousin Suh, Andrew Swick, John Tower, Andrei V. Gudkov, Jan Vijg, Andrey Voronkov, Michael West, Wolfgang Wagner, Anatoliy Yashin, Nadezhda Zemskaya, Zhaxybay Zhumadilov, Alex Zhavoronkov
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Treating aging as a disease to train deep neural networks facilitates transfer learning on individual diseases using a much smaller number of samples; first proposed by Zhavoronkov et al in 2015 [93], this technique can reconstruct datasets with missing or incorrect features.
“In addition, treating aging as a disease to train the deep neural networks to capture the most important biological properties of the age-related changes that transpire during aging using the deep neural networks facilitates for transfer learning on individual diseases using a much smaller number of samples. First proposed by Zhavoronkov et al in 2015 [93], this technique can be used to”
From Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare (2018) · cites this paper as [93]
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Mamoshina, P., Ojomoko, L., Yanovich, Y., Ostrovski, A., Botezatu, A., Prikhodko, P., Izumchenko, E., Aliper, A., Romantsov, K., Zhebrak, A., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.22345 · Cited by 471 · see citing works
“First proposed by Zhavoronkov et al in 2015 [93], this technique can be used to reconstruct the data sets with the missing or incorrect features.”
MethodSelf-citationBelsky, D. W., Moffitt, T. E., Cohen, A. A., Corcoran, D. L., Levine, M. E., Prinz, J. A., Schaefer, J. D., Sugden, K., Williams, B. S., Poulton, R., et al. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx346 · Cited by 419 · see citing works
“Thus, quantifications of biological aging are of growing interest in biomedical and social sciences (8, 9).”
Self-citationArtificial intelligence for aging and longevity research: Recent advances and perspectives
Zhavoronkov, A., Mamoshina, P., Vanhaelen, Q., Scheibye-Knudsen, M., Moskalev, A., & Aliper, A. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2018.11.003 · Cited by 246 · see citing works
Towards natural mimetics of metformin and rapamycin
Aliper, A. M., Jellen, L. C., Cortese, F., Artemov, A. V., Karpinsky‐Semper, D., Moskalev, A., Swick, A. G., & Zhavoronkov, A. A. (2017) · Aging · doi:10.18632/aging.101319 · Cited by 111 · see citing works
“We are currently using iPANDA in several other applications, including mapping the transcriptional signature of senescence and screening for novel senolytics, drugs that would selectively eliminate senescent cells [8].”
BackgroundMethodSelf-citationCortese, F., Klokov, D., Osipov, A., Stefaniak, J., Moskalev, A., Schastnaya, J., Cantor, C., Aliper, A., Mamoshina, P., Ushakov, I., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.24461 · Cited by 83 · see citing works
“info/drugs/) [220] databases, there are more than 400 potential geroprotectors, compounds that prolong model organism’s life span at least in one concentration [221] (Figure 4).”
BackgroundSelf-citationChemo brain: From discerning mechanisms to lifting the brain fog—An aging connection
Kovalchuk, A., & Kolb, B. E. (2017) · Cell Cycle · doi:10.1080/15384101.2017.1334022 · Cited by 69 · see citing works
“As highlighted at the recent conference on biomedical innovations for healthy longevity, the mechanism and role of cancer treatment-caused aging-related changes need to be analyzed because it will allow the development of strategies for the prevention and mitigation of treatment-induced neurodegeneration and aging.(63…”
MethodGalkin, F., Kochetov, K., Koldasbayeva, D., Faria, M., Fung, H. H.-L., Chen, A. X., & Zhavoronkov, A. A. (2022) · Aging · doi:10.18632/aging.204264 · Cited by 57 · see citing works
Psychological aging, depression, and well-being
Mitina, M., Young, S., & Zhavoronkov, A. A. (2020) · Aging · doi:10.18632/aging.103880 · Cited by 72 · see citing works
“Phenotypic biomarkers of aging Methylation [8, 19, 20]”
BackgroundMendes, R. A., Almeida, S. K. C., Soares, I. N., Barboza, C. A., Freitas, R. G., Brown, A., & de Souza, G. L. C. (2018) · Journal of Molecular Modeling · doi:10.1007/s00894-018-3663-2 · Cited by 45 · see citing works
Computational Methods for Single-Cell Imaging and Omics Data Integration
Watson, E. R., Fard, A. T., & Mar, J. C. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.768106 · Cited by 41 · see citing works
“Thereare many examples where AI has been successfully applied in longevity medicine research, including biomarker discovery (Putin et al., 2016; Moskalev et al., 2017; Zhavoronkov et al., 2021), using deep learning to predict chronological age (Wang et al., 2017) and analysis of relationships…”
BackgroundRadioprotectors.org: an open database of known and predicted radioprotectors
Aliper, A. M., Bozdaganyan, M. E., Sarkisova, V. A., Veviorskiy, A., Ozerov, I. V., Orekhov, P. S., Korzinkin, M., Moskalev, A., Zhavoronkov, A. A., & Osipov, A. N. (2020) · Aging · doi:10.18632/aging.103815 · Cited by 29 · see citing works
“Significant crosstalk between the mechanisms underlying the radiation protection and geroprotection is also notable [19, 86].”
BackgroundSelf-citationZhavoronkov, A. A., Kochetov, K., Diamandis, P., & Mitina, M. (2020) · Aging · doi:10.18632/aging.202344 · Cited by 30 · see citing works
“These biomarkers included those based on blood biochemistry [19, 20], transcriptomics and proteomics [21], epigenetic markers [22], microbiome [23], and photographs [24].”
BackgroundRožman, P. J. (2018) · GeroScience · doi:10.1007/s11357-018-0027-x · Cited by 20 · see citing works
Circadian clock genes’ overexpression in Drosophila alters diet impact on lifespan
Solovev, I. A., Shchegoleva, E., Fedintsev, A., Shaposhnikov, M. V., & Moskalev, A. (2018) · Biogerontology · doi:10.1007/s10522-018-9784-2 · Cited by 19 · see citing works
Self-citationBarzilai, D. A. (2025) · Aging · doi:10.18632/aging.206189 · Cited by 4 · see citing works
Yarmolenko, M., & Howlin, B. J. (2022) · Research Square · doi:10.21203/rs.3.rs-2199002/v1 · Cited by 3 · see citing works
Can Pension Funds Partially Manage Longevity Risk by Investing in a Longevity Megafund?
Debonneuil, É., Eyraud-Loisel, A., & Planchet, F. (2018) · Risks · doi:10.3390/risks6030067 · Cited by 2 · see citing works
“Since about 2015, various biotech companies have raised funds to bring biology of aging results to the clinics (see De Magalhães et al. 2017; and Debonneuil et al. 2017).”
BackgroundSelf-citationKrutko, V. N., Dontsov, V. I., Ermakova, N. A., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.634734 · Cited by 2 · see citing works
Arenas-Sánchez, G., Cortés, L. J., Arce, M. A., Villacura, L. E. P., & Salinas, A. E. (2021) · Revista de Nutrición Clínica y Metabolismo · doi:10.35454/rncm.v4n3.292 · Cited by 2 · see citing works
Passport and biological age in the choice of metabolic geroprophylactic therapy
Meshchaninov, V. N., Leontev, S., Blagodareva, M. S., et al. (2020) · BIO Web of Conferences · doi:10.1051/bioconf/20202201008
Barbazzeni, B. (2022) · Springer eBooks · doi:10.1007/978-3-031-08191-0_8
- Authors
- Moskalev, A., Anisimov, V., Aliper, A., Artemov, A., Asadullah, K., Belsky, D., Baranova, A., de Grey, A., Dixit, V. D., Debonneuil, E., Dobrovolskaya, E., Fedichev, P., Fedintsev, A., Fraifeld, V., Franceschi, C., Freer, R., Fülöp, T., Feige, J., Gems, D., Gladyshev, V., Gorbunova, V., Irincheeva, I., Jager, S., Jazwinski, S. M., Kaeberlein, M., Kennedy, B., Khaltourina, D., Kovalchuk, I., Kovalchuk, O., Kozin, S., Kulminski, A., Lashmanova, E., Lezhnina, K., Liu, G.-H., Longo, V., Mamoshina, P., Maslov, A., Pedro de Magalhaes, J., Mitchell, J., Mitnitski, A., Nikolsky, Y., Ozerov, I., Pasyukova, E., Peregudova, D., Popov, V., Proshkina, E., Putin, E., Rogaev, E., Rogina, B., Schastnaya, J., Seluanov, A., Shaposhnikov, M., Simm, A., Skulachev, V., Skulachev, M., Solovev, I., Spindler, S., Stefanova, N., Suh, Y., Swick, A., Tower, J., Gudkov, A. V., Vijg, J., Voronkov, A., West, M., Wagner, W., Yashin, A., Zemskaya, N., Zhumadilov, Z., & Zhavoronkov, A.
- Affiliations
- Engelhardt Institute of Molecular Biology (RU)
- Institute of Oncology NN Petrov (RU)
- Johns Hopkins University (US)
- Bayer (Germany) (DE)
- Duke University (US)
- George Mason University (US)
- SENS Research Foundation, 1 Beaconsfield Terrace, Cambridge, CB2 3EH, UK
- Yale University (US)
- ActuRx, 92330 Sceaux, France
- Russian Academy of Sciences (RU)
- Gero Limited, International Commerce Center, Kowloon, Hong Kong
- Moscow Institute of Physics and Technology (RU)
- Ben-Gurion University of the Negev (IL)
- University of Bologna (IT)
- University of Cambridge (GB)
- Department of Medicine, Research Center on Aging, Graduate Program in Immunology, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
- Nestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland
- University College London (GB)
- Brigham and Women's Hospital (US)
- University of Rochester (US)
- Nutrition and Metabolic Health Group, Nestlé Institute of Health Sciences, CH-1015 Lausanne, Switzerland
- Open Research Department, L’Oreal, 93600 Aulnay-sous-Bois, France
- Tulane University (US)
- University of Washington (US)
- Buck Institute for Research on Aging (US)
- National Research Center for Preventive Medicine (RU)
- University of Lethbridge (CA)
- University of Southern California (US)
- Albert Einstein College of Medicine (US)
- Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK
- Harvard University (US)
- Dalhousie University (CA)
- Skolkovo Foundation (RU)
- Voronezh State University (RU)
- Institute of Biology of Komi Science Center of Ural Branch of Russian Academy of Sciences, Syktyvkar, 167982, Russia
- ITMO University (RU)
- Vavilov Institute of General Genetics (RU)
- UConn Health (US)
- Department of Biology, University of Rochester, Rochester, NY 14627, USA
- Martin Luther University Halle-Wittenberg (DE)
- Lomonosov Moscow State University (RU)
- Chinese Academy of Sciences (CN)
- University of California, Riverside (US)
- Institute of Cytology and Genetics (RU)
- Life Extension Foundation (US)
- Roswell Park Comprehensive Cancer Center (US)
- Lineage Cell Therapeutics (United States) (US)
- RWTH Aachen University (DE)
- Nazarbayev University (KZ)
- Corresponding author
- Moskalev, Alexey
- ORCID
- Moskalev, Alexey
- Anisimov, Vladimir
- Artemov, Artem
- Belsky, Daniel
- Baranova, Ancha
- Dixit, Vishwa Deep
- Fedichev, Peter
- Fraifeld, Vadim
- Franceschi, Claudio
- Freer, Rosie
- Gems, David
- Gladyshev, Vadim
- Gorbunova, Vera
- Kaeberlein, Matt
- Kennedy, Brian
- Khaltourina, Daria
- Kovalchuk, Igor
- Kovalchuk, Olga
- Kozin, Sergey
- Kulminski, Alexander
- Liu, Guang-Hui
- Longo, Valter
- Mamoshina, Polina
- Maslov, Alexander
- Mitchell, James
- Mitnitski, Arnold
- Ozerov, Ivan
- Pasyukova, Elena
- Popov, Vasily
- Putin, Evgeny
- Rogaev, Evgeny
- Rogina, Blanka
- Shaposhnikov, Mikhail
- Simm, Andreas
- Skulachev, Vladimir
- Skulachev, Maxim
- Solovev, Ilya
- Stefanova, Natalia
- Suh, Yousin
- Tower, John
- Gudkov, Andrei V.
- Vijg, Jan
- Voronkov, Andrey
- West, Michael
- Wagner, Wolfgang
- Yashin, Anatoliy
- Zemskaya, Nadezhda
- Zhumadilov, Zhaxybay
- Zhavoronkov, Alex
- Venue
- Aging
- Publisher
- Impact Journals, LLC
- Published
- 2017-01-29
- Volume
- 9
- Issue
- 1
- Pages
- 7-25
- ISSN
- 1945-4589 (ISSN-L)
- PMC
- PMC5310653
- OpenAlex
- W2581429003
- Cited by
- 22
- References
- 0
- Citations by year
- 2025: 1 · 2022: 4 · 2021: 3 · 2020: 4 · 2018: 6 · 2017: 4
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Aging (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Nazarbayev University Repository (Nazarbayev University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Health Sciences › Medicine › Reproductive Medicine › Science, Research, and Medicine
- Keywords
- healthy longevity, biomedical interventions, anti-aging research, aging interventions, lifespan extension
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