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Runjia Liu

Showing results (1-10 of 5) with videos related to

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Diabetology & Metabolic Syndrome|July 11, 2025
Relationship between stress hyperglycemia ratio and the incidence of atrial fibrillation in patients after coronary artery bypass grafting: a retrospective study based on the MIMIC-IV databaseRunjia Liu, Jiatong Li, Jing Zeng, et al.
Frontiers in Endocrinology|December 29, 2025
Biomarker-based depression risk prediction in chronic heart failure patients: an interpretable machine learning approachYuxuan Tao, Chenglong Yao, Runjia Liu, et al.
International Immunopharmacology|January 21, 2026
MAP3K19 promotes the progression of hypopharyngeal cancer by suppressing dendritic cell maturation through mediating NF-κB activation and PD-L1 expressionWeidong Wang, Fangyu Yao, Mingqin Zeng, et al.
BMC Medical Informatics and Decision Making|June 4, 2026
Leveraging interpretable machine learning to identify sarcopenia in middle-aged and older adults with intrinsic capacity decline: an analysis of CHARLS data under AWGS 2025Jiatong Li, Runjia Liu, Enshuo Shi, et al.
Optics Express|May 14, 2021
Au-NPs signal amplification ultra-sensitivity optical microfiber interferometric biosensorHanglin Lu, Runjia Liu, Peiyuan Liu, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Diabetology & Metabolic Syndrome|July 11, 2025
Relationship between stress hyperglycemia ratio and the incidence of atrial fibrillation in patients after coronary artery bypass grafting: a retrospective study based on the MIMIC-IV databaseRunjia Liu, Jiatong Li, Jing Zeng, et al.
Frontiers in Endocrinology|December 29, 2025
Biomarker-based depression risk prediction in chronic heart failure patients: an interpretable machine learning approachYuxuan Tao, Chenglong Yao, Runjia Liu, et al.
International Immunopharmacology|January 21, 2026
MAP3K19 promotes the progression of hypopharyngeal cancer by suppressing dendritic cell maturation through mediating NF-κB activation and PD-L1 expressionWeidong Wang, Fangyu Yao, Mingqin Zeng, et al.
BMC Medical Informatics and Decision Making|June 4, 2026
Leveraging interpretable machine learning to identify sarcopenia in middle-aged and older adults with intrinsic capacity decline: an analysis of CHARLS data under AWGS 2025Jiatong Li, Runjia Liu, Enshuo Shi, et al.
Optics Express|May 14, 2021
Au-NPs signal amplification ultra-sensitivity optical microfiber interferometric biosensorHanglin Lu, Runjia Liu, Peiyuan Liu, et al.
Pageof 1