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Ruifeng Lin

Showing results (11-20 of 14) with videos related to

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Bioresource Technology|May 11, 2024
Novel chitosan-modified biochar prepared from a Chinese herb residue for multiple heavy metals removal: Characterization, performance and mechanismChengjiu Wang, Jixu Qiao, Jiandan Yuan, et al.
Frontiers in Immunology|June 17, 2026
Multi-layered functional genomics prioritizes candidate effectors and regulatory mechanisms of ankylosing spondylitisFanyu Meng, Ling Chen, Meng Li, et al.
Frontiers in Immunology|November 26, 2025
Neutrophil-to-lymphocyte ratio predicts inpatient gout recurrence: a large-scale multicenter retrospective cohort with machine-learning validationHui Zhang, Jiani Liu, Ruifeng Lin, et al.
BMC Medicine|November 4, 2025
Development and validation of a multidimensional and interpretable artificial intelligence model to predict gout recurrence in hospitalised patients: a real-world, ambispective multicentre cohort study in ChinaMeng Li, Hui Zhang, Shixian Chen, et al.
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Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Bioresource Technology|May 11, 2024
Novel chitosan-modified biochar prepared from a Chinese herb residue for multiple heavy metals removal: Characterization, performance and mechanismChengjiu Wang, Jixu Qiao, Jiandan Yuan, et al.
Frontiers in Immunology|June 17, 2026
Multi-layered functional genomics prioritizes candidate effectors and regulatory mechanisms of ankylosing spondylitisFanyu Meng, Ling Chen, Meng Li, et al.
Frontiers in Immunology|November 26, 2025
Neutrophil-to-lymphocyte ratio predicts inpatient gout recurrence: a large-scale multicenter retrospective cohort with machine-learning validationHui Zhang, Jiani Liu, Ruifeng Lin, et al.
BMC Medicine|November 4, 2025
Development and validation of a multidimensional and interpretable artificial intelligence model to predict gout recurrence in hospitalised patients: a real-world, ambispective multicentre cohort study in ChinaMeng Li, Hui Zhang, Shixian Chen, et al.
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