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  • Identification and validati... Identification and validation of novel microenvironment-based immune molecular subgroups of head and neck squamous cell carcinoma: implications for immunotherapy
    Chen, Y.-P.; Wang, Y.-Q.; Lv, J.-W. ... Annals of oncology, January 2019, 20190101, 2019-01-01, 2019-01-00, Volume: 30, Issue: 1
    Journal Article
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    Open access

    Targeting the immune checkpoint pathway has demonstrated antitumor cytotoxicity in treatment-refractory head and neck squamous cell carcinoma (HNSC). To understand the molecular mechanisms ...
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  • Environmental and health ef... Environmental and health effects of the herbicide glyphosate
    Van Bruggen, A.H.C.; He, M.M.; Shin, K. ... The Science of the total environment, March 2018, 2018-Mar, 2018-03-00, Volume: 616-617
    Journal Article
    Peer reviewed

    The herbicide glyphosate, N-(phosphonomethyl) glycine, has been used extensively in the past 40years, under the assumption that side effects were minimal. However, in recent years, concerns have ...
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  • Heavy-flavor production and... Heavy-flavor production and medium properties in high-energy nuclear collisions --What next?
    Aarts, G.; Aichelin, J.; Allton, C. ... The European physical journal. A, Hadrons and nuclei, 2017/5, Volume: 53, Issue: 5
    Journal Article
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    . Open and hidden heavy-flavor physics in high-energy nuclear collisions are entering a new and exciting stage towards reaching a clearer understanding of the new experimental results with the ...
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  • Mitochondrial complex II is... Mitochondrial complex II is a source of the reserve respiratory capacity that is regulated by metabolic sensors and promotes cell survival
    Pfleger, J; He, M; Abdellatif, M Cell death & disease, 07/2015, Volume: 6, Issue: 7
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    The survival of a cell depends on its ability to meet its energy requirements. We hypothesized that the mitochondrial reserve respiratory capacity (RRC) of a cell is a critical component of its ...
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  • Using deep‐learning algorit... Using deep‐learning algorithms to classify fetal brain ultrasound images as normal or abnormal
    Xie, H. N.; Wang, N.; He, M. ... Ultrasound in obstetrics & gynecology, October 2020, Volume: 56, Issue: 4
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    ABSTRACT Objectives To evaluate the feasibility of using deep‐learning algorithms to classify as normal or abnormal sonographic images of the fetal brain obtained in standard axial planes. Methods We ...
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