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  9. 287549

    Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study by Kuganya Nirmalarajah, Patryk Aftanas, Shiva Barati, Emily Chien, Gloria Crowl, Amna Faheem, Lubna Farooqi, Alainna J. Jamal, Saman Khan, Jonathon D. Kotwa, Angel X. Li, Mohammad Mozafarihashjin, Jalees A. Nasir, Altynay Shigayeva, Winfield Yim, Lily Yip, Xi Zoe Zhong, Kevin Katz, Robert Kozak, Andrew G. McArthur, Nick Daneman, Finlay Maguire, Allison J. McGeer, Venkata R. Duvvuri, Samira Mubareka

    Published 2025-01-01
    “…Abstract Background Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus complicating the prediction of clinical outcomes for different severe acute respiratory syndrome coronavirus (SARS-CoV-2) variants. …”
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  10. 287550

    Effect of Lactic Acid Bacteria Fermentation on Quality, Flavour and Antioxidant Activity of Rice Milk by Xiaomei GAO, Yong SUI, Zhenzhou ZHU, Shuyi LI, Lei ZHOU, Jianbin SHI, Tian XIONG, Fang CAI, Xin MEI

    Published 2025-02-01
    “…The results of gas chromatography-mass spectrometry (GC-MS) and electronic nose (E-nose) analyses showed that the types and contents of flavouring substances were significantly higher in the rice milk fermented by lactic acid bacteria compared to the control. …”
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  15. 287555

    Methodological challenges using routine clinical care data for real-world evidence: a rapid review utilizing a systematic literature search and focus group discussion by Michelle Pfaffenlehner, Max Behrens, Daniela Zöller, Kathrin Ungethüm, Kai Günther, Viktoria Rücker, Jens-Peter Reese, Peter Heuschmann, Miriam Kesselmeier, Flavia Remo, André Scherag, Harald Binder, Nadine Binder, for the EVA4MII project

    Published 2025-01-01
    “…Limitations of this type of data cited in the discussion sections were extracted and classified according to different bias types: main bias categories in non-randomized studies (information bias, reporting bias, selection bias, confounding) and additional routine data-specific challenges (i.e., operationalization, coding, follow-up, missing data, validation, and data quality). …”
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  20. 287560

    Phase II trial of nab-paclitaxel plus ramucirumab in combination with nivolumab for unresectable advanced or recurrent gastric cancer after progression on first-line treatment incl... by Hidekazu Hirano, Naoki Takahashi, Yusuke Amanuma, Nobumi Suzuki, Daisuke Takahari, Takeshi Kawakami, Chie Kudo-Saito, Kengo Nagashima, Narikazu Boku, Ken Kato, Hirokazu Shoji

    Published 2025-02-01
    “…Biomarker analyses of serial blood and tumor samples are planned to clarify predictive markers and molecular mechanisms underlying treatment resistance by multifaceted analytical methods (e.g., flow cytometry, DNA sequencing [DNAseq]/RNA sequencing [RNAseq]). …”
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