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  1. Article: Future directions in asthma pharmacogenomics.

    Weiss, Scott T

    Annals of translational medicine

    2022  Volume 10, Issue 19, Page(s) 1048

    Language English
    Publishing date 2022-08-25
    Publishing country China
    Document type Editorial ; Comment
    ZDB-ID 2893931-1
    ISSN 2305-5847 ; 2305-5839
    ISSN (online) 2305-5847
    ISSN 2305-5839
    DOI 10.21037/atm-22-4343
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Vitamin D and COVID-19: Can it be protective?

    Weiss, Scott T

    The American journal of clinical nutrition

    2020  Volume 113, Issue 5, Page(s) 1079–1080

    MeSH term(s) Biological Specimen Banks ; COVID-19 ; Humans ; Prospective Studies ; SARS-CoV-2 ; United Kingdom ; Vitamin D
    Chemical Substances Vitamin D (1406-16-2)
    Language English
    Publishing date 2020-11-06
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 280048-2
    ISSN 1938-3207 ; 0002-9165
    ISSN (online) 1938-3207
    ISSN 0002-9165
    DOI 10.1093/ajcn/nqab040
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Biologic therapies for asthma in underserved populations.

    Kelly, Rachel S / Weiss, Scott T

    Lancet (London, England)

    2022  Volume 400, Issue 10351, Page(s) 471–473

    MeSH term(s) Asthma/drug therapy ; Biological Therapy ; Humans ; Medically Underserved Area ; Vulnerable Populations
    Language English
    Publishing date 2022-08-13
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(22)01383-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Graph convolutional network-based feature selection for high-dimensional and low-sample size data.

    Chen, Can / Weiss, Scott T / Liu, Yang-Yu

    Bioinformatics (Oxford, England)

    2023  Volume 39, Issue 4

    Abstract: Motivation: Feature selection is a powerful dimension reduction technique which selects a subset of relevant features for model construction. Numerous feature selection methods have been proposed, but most of them fail under the high-dimensional and low- ...

    Abstract Motivation: Feature selection is a powerful dimension reduction technique which selects a subset of relevant features for model construction. Numerous feature selection methods have been proposed, but most of them fail under the high-dimensional and low-sample size (HDLSS) setting due to the challenge of overfitting.
    Results: We present a deep learning-based method-GRAph Convolutional nEtwork feature Selector (GRACES)-to select important features for HDLSS data. GRACES exploits latent relations between samples with various overfitting-reducing techniques to iteratively find a set of optimal features which gives rise to the greatest decreases in the optimization loss. We demonstrate that GRACES significantly outperforms other feature selection methods on both synthetic and real-world datasets.
    Availability and implementation: The source code is publicly available at https://github.com/canc1993/graces.
    MeSH term(s) Sample Size ; Software
    Language English
    Publishing date 2023-04-21
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btad135
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: COVID-19 Lessons Learned: Prone Positioning With and Without Invasive Ventilation.

    Scott, J Brady / Weiss, Tyler T / Li, Jie

    Respiratory care

    2022  Volume 67, Issue 8, Page(s) 1011–1021

    Abstract: Prone positioning (PP) has been used extensively for patients requiring invasive mechanical ventilation for hypoxemic respiratory failure during the COVID-19 pandemic. Evidence suggests that PP was beneficial during the pandemic, as it improves ... ...

    Abstract Prone positioning (PP) has been used extensively for patients requiring invasive mechanical ventilation for hypoxemic respiratory failure during the COVID-19 pandemic. Evidence suggests that PP was beneficial during the pandemic, as it improves oxygenation and might improve chances of survival, especially in those with a continuum of positive oxygenation responses to the procedure. Additionally, the pandemic drove innovation regarding PP, as it brought attention to awake PP (APP) and the value of an interdisciplinary team approach to PP during a pandemic. APP appears to be safe and effective at improving oxygenation; APP may also reduce the need for intubation in patients requiring advanced respiratory support like high-flow nasal cannula or noninvasive ventilation. Teams specifically assembled for PP during a pandemic also appear useful and can provide needed assistance to bedside clinicians in the time of crisis. Complications associated with PP can be mitigated, and a multidisciplinary approach to reduce the incidence of complications is recommended.
    MeSH term(s) COVID-19 ; Humans ; Noninvasive Ventilation/adverse effects ; Pandemics ; Patient Positioning/methods ; Prone Position/physiology ; Respiratory Insufficiency/etiology ; Respiratory Insufficiency/therapy
    Language English
    Publishing date 2022-06-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603252-7
    ISSN 1943-3654 ; 0098-9142 ; 0020-1324
    ISSN (online) 1943-3654
    ISSN 0098-9142 ; 0020-1324
    DOI 10.4187/respcare.10141
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Lung function trajectories in a cohort of patients with moderate-to-severe asthma on mepolizumab, omalizumab, or dupilumab.

    Nopsopon, Tanawin / Barrett, Nora A / Phipatanakul, Wanda / Laidlaw, Tanya M / Weiss, Scott T / Akenroye, Ayobami

    Allergy

    2024  

    Abstract: Background: Lung function is an independent predictor of mortality. We evaluated the lung function trajectories of a cohort of patients with asthma receiving biologic therapy.: Methods: We identified 229 monoclonal antibody-naïve adult patients with ... ...

    Abstract Background: Lung function is an independent predictor of mortality. We evaluated the lung function trajectories of a cohort of patients with asthma receiving biologic therapy.
    Methods: We identified 229 monoclonal antibody-naïve adult patients with moderate-to-severe asthma who initiated omalizumab, mepolizumab, or dupilumab between 2010 and 2022 in a large healthcare system in Boston, MA. Generalized additive mixed models were used to estimate the lung function trajectories during the 156 weeks following biologic initiation. Response was defined as an improvement in FEV
    Results: Eighty-eight patients initiated mepolizumab, 76 omalizumab, and 65 dupilumab. Baseline eosinophil count was highest in the mepolizumab group (405 cells/mcL) and lowest for omalizumab (250 cells/mcL). Both FEV
    Conclusion: In this clinical cohort, mepolizumab, omalizumab, and dupilumab had beneficial effects on FEV
    Language English
    Publishing date 2024-01-02
    Publishing country Denmark
    Document type Journal Article
    ZDB-ID 391933-x
    ISSN 1398-9995 ; 0105-4538
    ISSN (online) 1398-9995
    ISSN 0105-4538
    DOI 10.1111/all.16002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Prenatal and perinatal influences on the microbiome: Clinical implications.

    Lee-Sarwar, Kathleen A / Liu, Yang-Yu / Litonjua, Augusto A / Weiss, Scott T

    The Journal of allergy and clinical immunology

    2023  Volume 152, Issue 6, Page(s) 1414–1416

    Language English
    Publishing date 2023-09-29
    Publishing country United States
    Document type Editorial
    ZDB-ID 121011-7
    ISSN 1097-6825 ; 1085-8725 ; 0091-6749
    ISSN (online) 1097-6825 ; 1085-8725
    ISSN 0091-6749
    DOI 10.1016/j.jaci.2023.09.026
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Rejuvenating the human gut microbiome.

    Ke, Shanlin / Weiss, Scott T / Liu, Yang-Yu

    Trends in molecular medicine

    2022  Volume 28, Issue 8, Page(s) 619–630

    Abstract: Industrial advances have caused significant loss of diversity in our gut microbiome, potentially increasing our susceptibility to many diseases. Recently, rewilding the human gut microbiome - that is, bringing it back to an ancestral or preindustrial ... ...

    Abstract Industrial advances have caused significant loss of diversity in our gut microbiome, potentially increasing our susceptibility to many diseases. Recently, rewilding the human gut microbiome - that is, bringing it back to an ancestral or preindustrial state (e.g., by transplanting stool material from donors in nonindustrial societies) - has been hotly debated from medical, ethical, and evolutionary perspectives. Here we propose an alternative solution: rejuvenating the human gut microbiome by stool banking and autologous fecal microbiota transplantation, that is, collecting the hosts' stool samples at a younger age when they are at optimal health, and cryopreserving the samples in a stool bank for the hosts' own future use. In this article we discuss the motivation, applications, feasibility, and challenges of this solution.
    MeSH term(s) Fecal Microbiota Transplantation ; Feces ; Gastrointestinal Microbiome ; Humans ; Microbiota
    Language English
    Publishing date 2022-06-30
    Publishing country England
    Document type Journal Article ; Review ; Research Support, N.I.H., Extramural
    ZDB-ID 2036490-8
    ISSN 1471-499X ; 1471-4914
    ISSN (online) 1471-499X
    ISSN 1471-4914
    DOI 10.1016/j.molmed.2022.05.005
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  9. Article ; Online: Diversity and the Splice of Life: Mapping the 17q12-21.1 Locus for Variants Associated with Early-Onset Asthma in African American Individuals.

    Raby, Benjamin A / Weiss, Scott T

    American journal of respiratory and critical care medicine

    2020  Volume 203, Issue 4, Page(s) 401–403

    MeSH term(s) Black or African American/genetics ; Asthma/genetics ; Genetic Predisposition to Disease ; Humans
    Language English
    Publishing date 2020-10-26
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.202010-3802ED
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  10. Article ; Online: Emerging mechanisms and novel targets in allergic inflammation and asthma.

    Weiss, Scott T

    Genome medicine

    2017  Volume 9, Issue 1, Page(s) 107

    Abstract: ... novel immune mechanisms that target dendritic cells, T helper 2 cytokines, regulatory T cells, and type ...

    Abstract Airway inflammation is key to the severity and persistence of asthma. Recent studies have revealed novel immune mechanisms that target dendritic cells, T helper 2 cytokines, regulatory T cells, and type 2 innate lymphoid cells in allergic inflammation, as well as novel approaches that target airway smooth muscle in asthma. These advances inform the development of new targeted treatments for allergic inflammation and asthma with the potential to provide therapeutic benefit.
    MeSH term(s) Animals ; Anti-Inflammatory Agents/adverse effects ; Anti-Inflammatory Agents/therapeutic use ; Antibodies, Monoclonal/adverse effects ; Antibodies, Monoclonal/therapeutic use ; Asthma/genetics ; Asthma/immunology ; Asthma/therapy ; Humans ; Immunologic Factors/adverse effects ; Immunologic Factors/therapeutic use ; Immunotherapy/adverse effects ; Immunotherapy/methods
    Chemical Substances Anti-Inflammatory Agents ; Antibodies, Monoclonal ; Immunologic Factors
    Language English
    Publishing date 2017-12-04
    Publishing country England
    Document type Journal Article ; Review ; Research Support, N.I.H., Extramural
    ZDB-ID 2484394-5
    ISSN 1756-994X ; 1756-994X
    ISSN (online) 1756-994X
    ISSN 1756-994X
    DOI 10.1186/s13073-017-0501-6
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