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  1. Book ; Online ; E-Book: Immunoinformatics of cancers

    Rezaei, Nima / Jabbari, Parnian

    practical machine learning approaches using R

    2022  

    Author's details Nima Rezaei and Parnian Jabbari
    MeSH term(s) Medical Informatics. ; Artificial Intelligence. ; Software.
    Keywords Machine learning ; Artificial intelligence/Medical applications ; R (Computer program language)
    Subject code 616.994079
    Language English
    Size 1 online resource (284 pages)
    Publisher Elsevier
    Publishing place London, England ; San Diego, California
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 0-12-822430-4 ; 9780128224007 ; 978-0-12-822430-4 ; 0128224002
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article: Supplement Use and Increased Risks of Cancer: Unveiling the Other Side of the Coin.

    Jabbari, Parnian / Yazdanpanah, Omid / Benjamin, David J / Rezazadeh Kalebasty, Arash

    Cancers

    2024  Volume 16, Issue 5

    Abstract: There is a rising trend in the consumption of dietary supplements, especially among adults, with the purpose of improving health. While marketing campaigns tout the potential health benefits of using dietary supplements, it is critical to evaluate the ... ...

    Abstract There is a rising trend in the consumption of dietary supplements, especially among adults, with the purpose of improving health. While marketing campaigns tout the potential health benefits of using dietary supplements, it is critical to evaluate the potential harmful effects associated with these supplements as well. The majority of the scarce research on the potential harmful effects of vitamins focuses on the acute or chronic toxicities associated with the use of dietary supplements. Quality research is still required to further investigate the risks of long-term use of dietary supplements, especially the risk of developing cancers. The present review concentrates on studies that have investigated the association between the risk of developing cancers and associated mortality with the risk of dietary supplements. Such an association has been reported for several vitamins, minerals, and other dietary supplements. Even though several of these studies come with their own shortcomings and critics, they must draw attention to further investigate long-term adverse effects of dietary supplements and advise consumers and healthcare providers to ponder the extensive use of dietary supplements.
    Language English
    Publishing date 2024-02-22
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers16050880
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: With Risk of Reinfection, Is COVID-19 Here to Stay?

    Jabbari, Parnian / Rezaei, Nima

    Disaster medicine and public health preparedness

    2020  Volume 14, Issue 4, Page(s) e33

    MeSH term(s) COVID-19/transmission ; Disease Eradication/standards ; Humans ; Reinfection/complications ; Reinfection/transmission
    Keywords covid19
    Language English
    Publishing date 2020-07-27
    Publishing country United States
    Document type Letter
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2020.274
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Artificial intelligence and immunotherapy.

    Jabbari, Parnian / Rezaei, Nima

    Expert review of clinical immunology

    2019  Volume 15, Issue 7, Page(s) 689–691

    MeSH term(s) Artificial Intelligence ; Humans ; Immunotherapy
    Language English
    Publishing date 2019-06-03
    Publishing country England
    Document type Editorial
    ZDB-ID 2274260-8
    ISSN 1744-8409 ; 1744-666X
    ISSN (online) 1744-8409
    ISSN 1744-666X
    DOI 10.1080/1744666X.2019.1623670
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Nicotinamide N-methyl transferase and cancer-associated thrombosis: insights to prevention and management.

    Jabbari, Parnian / Ardakany, Marzieh Roayaei / Ebrahimi, Saied / Rezaei, Nima

    Epigenomics

    2023  Volume 15, Issue 6, Page(s) 385–395

    Abstract: Nicotinamide metabolism is important in carcinogenesis. Nicotinamide affects the cellular methyl pool, thus affecting DNA and histone methylation and gene expression. Cancer cells have increased expression of nicotinamide N-methyl transferase (NNMT), the ...

    Abstract Nicotinamide metabolism is important in carcinogenesis. Nicotinamide affects the cellular methyl pool, thus affecting DNA and histone methylation and gene expression. Cancer cells have increased expression of nicotinamide N-methyl transferase (NNMT), the key enzyme in nicotinamide metabolism. NNMT contributes to tumor angiogenesis. Overexpression of NNMT is associated with poorer prognosis in cancers. Additionally, NNMT can contribute to cancer-associated morbidities, such as cancer-associated thrombosis. 1-methylnicotinamide (1-MNA), a metabolite of nicotinamide, has anti-inflammatory and antithrombotic effects. Therefore, targeting NNMT can affect both carcinogenesis and cancer-associated morbidities. Several antitumor drugs have been shown to inhibit NNMT expression in cancer cells. Implementing these drugs to reverse NNMT effects in addition to 1-MNA supplementation has the potential to prevent cancer-associated thrombosis through various mechanisms.
    MeSH term(s) Humans ; Neoplasms/complications ; Neoplasms/drug therapy ; Neoplasms/genetics ; Antineoplastic Agents/pharmacology ; Carcinogenesis ; Niacinamide/pharmacology ; Niacinamide/therapeutic use ; Transferases ; Nicotinamide N-Methyltransferase/genetics ; Nicotinamide N-Methyltransferase/metabolism
    Chemical Substances Antineoplastic Agents ; Niacinamide (25X51I8RD4) ; Transferases (EC 2.-) ; Nicotinamide N-Methyltransferase (EC 2.1.1.1)
    Language English
    Publishing date 2023-05-22
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2537199-X
    ISSN 1750-192X ; 1750-1911
    ISSN (online) 1750-192X
    ISSN 1750-1911
    DOI 10.2217/epi-2023-0078
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Targeting signaling pathways involved in primordial follicle growth or dormancy: potential application in prevention of follicular loss and infertility.

    Farhat, Sara Ali / Jabbari, Forouq / Jabbari, Parnian / Rezaei, Nima

    Expert opinion on biological therapy

    2022  Volume 22, Issue 7, Page(s) 871–881

    Abstract: Introduction: Premature ovarian failure (POF) is one of the important causes of infertility in females. To date, no efficient preventive pharmacological treatment has been offered to prevent POF. Therefore, it is necessary to focus on strategies that ... ...

    Abstract Introduction: Premature ovarian failure (POF) is one of the important causes of infertility in females. To date, no efficient preventive pharmacological treatment has been offered to prevent POF. Therefore, it is necessary to focus on strategies that provide a normal reproductive lifespan to females at risk of developing POF.
    Areas covered: Recently, attention has been drawn to discovering pathways involved in primordial follicle activation, as the inhibition of this process might maintain the stock of primordial follicles and therefore, prevent POF.
    Expert opinion: Although the findings seem promising, most of the studies were conducted on animals, and the interaction between these factors and the possible outcomes of their administration in the long term are still unknown. Therefore, further investigation is necessary to assess these aspects.
    MeSH term(s) Animals ; Anti-Mullerian Hormone/metabolism ; Anti-Mullerian Hormone/pharmacology ; Female ; Humans ; Infertility/metabolism ; Ovarian Follicle/metabolism ; Primary Ovarian Insufficiency/metabolism ; Primary Ovarian Insufficiency/prevention & control ; Signal Transduction
    Chemical Substances Anti-Mullerian Hormone (80497-65-0)
    Language English
    Publishing date 2022-06-08
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2052501-1
    ISSN 1744-7682 ; 1471-2598
    ISSN (online) 1744-7682
    ISSN 1471-2598
    DOI 10.1080/14712598.2022.2086042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Body Mass Index as a Predictor of Symptom Duration in COVID-19 Outpatients.

    Jabbari, Parnian / Taraghikhah, Nazanin / Jabbari, Forouq / Ebrahimi, Saied / Rezaei, Nima

    Disaster medicine and public health preparedness

    2022  Volume 17, Page(s) e236

    Abstract: Background: Obesity is a risk factor for various diseases and can affect the disease course. Studies have shown detrimental effects of obesity on patients affected with SARS-CoV-2 including increased hospitalization and more severe disease. This study ... ...

    Abstract Background: Obesity is a risk factor for various diseases and can affect the disease course. Studies have shown detrimental effects of obesity on patients affected with SARS-CoV-2 including increased hospitalization and more severe disease. This study aims to investigate the effects of obesity on symptom duration in patients with COVID-19, and also explore the possibility of using BMI as a predictor of symptom duration in outpatient settings.
    Methods: Patients diagnosed with COVID-19 between June and October 2020, who had no other comorbidities, and were planned to receive treatment in the outpatient setting were enrolled in the study. Duration of the symptoms was determined based on participants' self-report of their symptoms. Linear regression was used to create predictive models based on participants' BMI, age, sex, disease presentation, and their self-reported symptom duration.
    Results: A total of 210 patients were included in the final analysis. Patients with higher BMI had significantly longer symptom duration. Linear regression models showed highest correlation between BMI and symptom duration compared to other covariates.
    Conclusion: Low error in predictions and high coverage of data variability showed BMI can be used as a predictive factor for symptom duration in COVID-19 patients treated in outpatient settings.
    MeSH term(s) Humans ; COVID-19/complications ; COVID-19/epidemiology ; SARS-CoV-2 ; Body Mass Index ; Outpatients ; Obesity/complications ; Obesity/epidemiology
    Language English
    Publishing date 2022-08-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2022.185
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: COVID-19: A Chimera of Two Pandemics.

    Jabbari, Parnian / Jabbari, Forouq / Ebrahimi, Saied / Rezaei, Nima

    Disaster medicine and public health preparedness

    2020  Volume 14, Issue 3, Page(s) e38–e39

    MeSH term(s) COVID-19 ; Coronavirus Infections/complications ; Coronavirus Infections/prevention & control ; Health Literacy/standards ; Health Literacy/trends ; Health Promotion/methods ; Health Promotion/trends ; Healthcare Disparities/trends ; Humans ; Pandemics/prevention & control ; Pandemics/statistics & numerical data ; Pneumonia, Viral/complications ; Pneumonia, Viral/prevention & control
    Keywords covid19
    Language English
    Publishing date 2020-06-25
    Publishing country United States
    Document type Letter
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2020.223
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: With Risk of Reinfection, Is COVID-19 Here to Stay?

    Jabbari, Parnian / Rezaei, Nima

    Disaster Medicine and Public Health Preparedness

    2020  , Page(s) 1–1

    Keywords Public Health, Environmental and Occupational Health ; covid19
    Language English
    Publisher Cambridge University Press (CUP)
    Publishing country uk
    Document type Article ; Online
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2020.274
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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