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  1. Article ; Online: Interview with Alex Zhavoronkov, PhD.

    Glaser, Vicki / Zhavoronkov, Alex

    Rejuvenation research

    2015  Volume 18, Issue 4, Page(s) 366–370

    MeSH term(s) Aging/genetics ; Aging/physiology ; Geriatrics/history ; History, 20th Century ; History, 21st Century ; Humans
    Language English
    Publishing date 2015-08
    Publishing country United States
    Document type Autobiography ; Biography ; Historical Article ; Interview ; Portraits
    ZDB-ID 2150779-X
    ISSN 1557-8577 ; 1549-1684
    ISSN (online) 1557-8577
    ISSN 1549-1684
    DOI 10.1089/rej.2015.1758
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  2. Article ; Online: Caution with AI-generated content in biomedicine.

    Zhavoronkov, Alex

    Nature medicine

    2023  Volume 29, Issue 3, Page(s) 532

    MeSH term(s) Health Occupations ; Artificial Intelligence
    Language English
    Publishing date 2023-02-07
    Publishing country United States
    Document type News
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/d41591-023-00014-w
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  3. Article ; Online: The inherent challenges of classifying senescence.

    Zhavoronkov, Alex

    Science (New York, N.Y.)

    2020  Volume 368, Issue 6491, Page(s) 595

    MeSH term(s) Aging ; Animals ; Cellular Senescence ; Humans
    Language English
    Publishing date 2020-01-29
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.aba0833
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  4. Article ; Online: Medicinal Chemists versus Machines Challenge: What Will It Take to Adopt and Advance Artificial Intelligence for Drug Discovery?

    Zhavoronkov, Alex

    Journal of chemical information and modeling

    2020  Volume 60, Issue 6, Page(s) 2657–2659

    Abstract: The field of artificial intelligence (AI) for generative chemistry is reaching the maturity stage, shifting the focus from the novelty of the algorithms to the quality of the generated molecules. To ensure continued evolution of AI technologies, we ... ...

    Abstract The field of artificial intelligence (AI) for generative chemistry is reaching the maturity stage, shifting the focus from the novelty of the algorithms to the quality of the generated molecules. To ensure continued evolution of AI technologies, we propose a series of challenges of increasing complexity by comparing and combining the machine and human intelligence in medicinal chemistry.
    MeSH term(s) Algorithms ; Artificial Intelligence ; Chemistry, Pharmaceutical ; Drug Discovery ; Humans
    Language English
    Publishing date 2020-05-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.0c00435
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  5. Article ; Online: Geroprotective and senoremediative strategies to reduce the comorbidity, infection rates, severity, and lethality in gerophilic and gerolavic infections.

    Zhavoronkov, Alex

    Aging

    2020  Volume 12, Issue 8, Page(s) 6492–6510

    Abstract: The recently identified SARS-CoV-2 betacoronavirus responsible for the COVID-19 pandemic has uncovered the age-associated vulnerability in the burden of disease and put aging research in the spotlight. The limited data available indicates that COVID-19 ... ...

    Abstract The recently identified SARS-CoV-2 betacoronavirus responsible for the COVID-19 pandemic has uncovered the age-associated vulnerability in the burden of disease and put aging research in the spotlight. The limited data available indicates that COVID-19 should be referred to as a gerolavic (from Greek, géros "old man" and epilavís, "harmful") infection because the infection rates, severity, and lethality are substantially higher in the population aged 60 and older. This is primarily due to comorbidity but may be partially due to immunosenescence, decreased immune function in the elderly, and general loss of function, fitness, and increased frailty associated with aging. Immunosenescence is a major factor affecting vaccination response, as well as the severity and lethality of infectious diseases. While vaccination reduces infection rates, and therapeutic interventions reduce the severity and lethality of infections, these interventions have limitations. Previous studies showed that postulated geroprotectors, such as sirolimus (rapamycin) and its close derivative rapalog everolimus (RAD001), decreased infection rates in a small sample of elderly patients. This article presents a review of the limited literature available on geroprotective and senoremediative interventions that may be investigated to decrease the disease burden of gerolavic infections. This article also highlights a need for rigorous clinical validation of deep aging clocks as surrogate markers of biological age. These could be used to assess the need for, and efficacy of, geroprotective and senoremediative interventions and provide better protection for elderly populations from gerolavic infections. This article does not represent medical advice and the medications described are not yet licensed or recommended as immune system boosters, as they have not undergone clinical evaluation for this purpose.
    MeSH term(s) Age Factors ; Aged ; Aged, 80 and over ; COVID-19 ; COVID-19 Testing ; COVID-19 Vaccines ; Clinical Laboratory Techniques ; Coronavirus Infections/diagnosis ; Coronavirus Infections/drug therapy ; Coronavirus Infections/immunology ; Coronavirus Infections/physiopathology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/therapy ; Humans ; Immunosenescence ; Pandemics/prevention & control ; Pneumonia, Viral/immunology ; Pneumonia, Viral/physiopathology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/therapy ; Viral Vaccines ; COVID-19 Drug Treatment
    Chemical Substances COVID-19 Vaccines ; Viral Vaccines
    Keywords covid19
    Language English
    Publishing date 2020-03-31
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 1945-4589
    ISSN (online) 1945-4589
    DOI 10.18632/aging.102988
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  6. Article: Kant's pragmatic use of reason from a sociological point of view: Third way or methodological impasse?

    Zhavoronkov, Alexey

    Studies in history and philosophy of science

    2022  Volume 94, Page(s) 1–7

    Abstract: The paper focuses on the relevance of Kant's anthropologically oriented idea of the pragmatic use of reason for specific theoretical approaches in sociology. As I show in the first part, Kant's explicit presence in 20th-century sociology does not refer ... ...

    Abstract The paper focuses on the relevance of Kant's anthropologically oriented idea of the pragmatic use of reason for specific theoretical approaches in sociology. As I show in the first part, Kant's explicit presence in 20th-century sociology does not refer much to his anthropology and specifically to its cornerstone - the pragmatic use of reason which establishes a subtle connection between the theoretical and practical functions of reason. As an instrument for gaining systematic knowledge about the social world and ourselves as beings both passively and actively involved in this process, Kant's pragmatic use of reason serves a specific form of the theoretical use of reason. At the same time, it embodies a kind of practical reasoning concerning the "general welfare" in the social sphere. Building on the key arguments in the first part, I then address the question of whether we can view Kant's pragmatic approach as a possible third way for sociology today, beyond the simplifying opposition of 'theoretical' normativity and 'realistic' empiricism, and whether this third way can help us in clearing specific sociological issues. Here, I focus on two examples, namely the use of Kant's notion of "unsocial sociability" in Ralf Dahrendorf's conflict theory and on the criticism of Kant's cosmopolitanism in Ulrich Beck's reformed sociology of cosmopolitanism.
    MeSH term(s) Anthropology/history ; Empiricism ; Knowledge ; Philosophy/history ; Sociology
    Language English
    Publishing date 2022-05-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 202358-1
    ISSN 1879-2510 ; 0039-3681
    ISSN (online) 1879-2510
    ISSN 0039-3681
    DOI 10.1016/j.shpsa.2022.05.003
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    In stock of ZB MED Bonn / Germany

    Z 91/732: Show issues

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  7. Article ; Online: Artificial Intelligence for Drug Discovery, Biomarker Development, and Generation of Novel Chemistry.

    Zhavoronkov, Alex

    Molecular pharmaceutics

    2018  Volume 15, Issue 10, Page(s) 4311–4313

    MeSH term(s) Animals ; Artificial Intelligence ; Biomarkers/blood ; Drug Discovery/methods ; Humans
    Chemical Substances Biomarkers
    Language English
    Publishing date 2018-09-29
    Publishing country United States
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 2138405-8
    ISSN 1543-8392 ; 1543-8384
    ISSN (online) 1543-8392
    ISSN 1543-8384
    DOI 10.1021/acs.molpharmaceut.8b00930
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    Zs.A 6250: Show issues Location:
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  8. Article: Geroprotective and senoremediative strategies to reduce the comorbidity, infection rates, severity, and lethality in gerophilic and gerolavic infections

    Zhavoronkov, Alex

    Aging (Albany NY)

    Abstract: The recently identified SARS-CoV-2 betacoronavirus responsible for the COVID-19 pandemic has uncovered the age-associated vulnerability in the burden of disease and put aging research in the spotlight. The limited data available indicates that COVID-19 ... ...

    Abstract The recently identified SARS-CoV-2 betacoronavirus responsible for the COVID-19 pandemic has uncovered the age-associated vulnerability in the burden of disease and put aging research in the spotlight. The limited data available indicates that COVID-19 should be referred to as a gerolavic (from Greek, géros "old man" and epilavís, "harmful") infection because the infection rates, severity, and lethality are substantially higher in the population aged 60 and older. This is primarily due to comorbidity but may be partially due to immunosenescence, decreased immune function in the elderly, and general loss of function, fitness, and increased frailty associated with aging. Immunosenescence is a major factor affecting vaccination response, as well as the severity and lethality of infectious diseases. While vaccination reduces infection rates, and therapeutic interventions reduce the severity and lethality of infections, these interventions have limitations. Previous studies showed that postulated geroprotectors, such as sirolimus (rapamycin) and its close derivative rapalog everolimus (RAD001), decreased infection rates in a small sample of elderly patients. This article presents a review of the limited literature available on geroprotective and senoremediative interventions that may be investigated to decrease the disease burden of gerolavic infections. This article also highlights a need for rigorous clinical validation of deep aging clocks as surrogate markers of biological age. These could be used to assess the need for, and efficacy of, geroprotective and senoremediative interventions and provide better protection for elderly populations from gerolavic infections. This article does not represent medical advice and the medications described are not yet licensed or recommended as immune system boosters, as they have not undergone clinical evaluation for this purpose.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #23150
    Database COVID19

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  9. Article ; Online: AI-powered therapeutic target discovery.

    Pun, Frank W / Ozerov, Ivan V / Zhavoronkov, Alex

    Trends in pharmacological sciences

    2023  Volume 44, Issue 9, Page(s) 561–572

    Abstract: Disease modeling and target identification are the most crucial initial steps in drug discovery, and influence the probability of success at every step of drug development. Traditional target identification is a time-consuming process that takes years to ...

    Abstract Disease modeling and target identification are the most crucial initial steps in drug discovery, and influence the probability of success at every step of drug development. Traditional target identification is a time-consuming process that takes years to decades and usually starts in an academic setting. Given its advantages of analyzing large datasets and intricate biological networks, artificial intelligence (AI) is playing a growing role in modern drug target identification. We review recent advances in target discovery, focusing on breakthroughs in AI-driven therapeutic target exploration. We also discuss the importance of striking a balance between novelty and confidence in target selection. An increasing number of AI-identified targets are being validated through experiments and several AI-derived drugs are entering clinical trials; we highlight current limitations and potential pathways for moving forward.
    Language English
    Publishing date 2023-07-19
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 282846-7
    ISSN 1873-3735 ; 0165-6147
    ISSN (online) 1873-3735
    ISSN 0165-6147
    DOI 10.1016/j.tips.2023.06.010
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  10. Article ; Online: Leveraging AI to identify dual-purpose aging and disease targets.

    Leung, Geoffrey Ho Duen / Wong, Chun Wai / Pun, Frank W / Aliper, Alex / Ren, Feng / Zhavoronkov, Alex

    Expert opinion on therapeutic targets

    2023  , Page(s) 1–4

    Language English
    Publishing date 2023-12-01
    Publishing country England
    Document type Editorial
    ZDB-ID 2055208-7
    ISSN 1744-7631 ; 1472-8222
    ISSN (online) 1744-7631
    ISSN 1472-8222
    DOI 10.1080/14728222.2023.2288270
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