Publications by authors named "Yingzi Jin"

Background: Systematic reviews and meta-analyses are important to evidence-based medicine, but the information retrieval and literature screening procedures are burdensome tasks. Rapid Medical Evidence Synthesis (RMES; Deloitte Tohmatsu Risk Advisory LLC) is a software designed to support information retrieval, literature screening, and data extraction for evidence-based medicine.

Objective: This study aimed to evaluate the accuracy of RMES for literature screening with reference to published systematic reviews.

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Objective: As new knowledge is produced at a rapid pace in the biomedical field, existing biomedical Knowledge Graphs (KGs) cannot be manually updated in a timely manner. Previous work in Natural Language Processing (NLP) has leveraged link prediction to infer the missing knowledge in general-purpose KGs. Inspired by this, we propose to apply link prediction to existing biomedical KGs to infer missing knowledge.

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Systematic literature review (SLR) is a crucial method for clinicians and policymakers to make their decisions in a flood of new clinical studies. Because manual literature screening in SLR is a highly laborious task, its automation by natural language processing (NLP) has been welcomed. Although intervention is a key information for literature screening, NLP models for its detection in previous works have not shown adequate performance.

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Human milk contains biologically important amounts of transforming growth factor-β2 isoform (TGF-β2), which is presumed to protect against inflammatory gut mucosal injury in the neonate. In preclinical models, enterally administered TGF-β2 can protect against experimental necrotizing enterocolitis, an inflammatory bowel necrosis of premature infants. In this study, we investigated whether TGF-β bioactivity in human preterm milk could be enhanced for therapeutic purposes by adding recombinant TGF-β2 (rTGF-β2) to milk prior to feeding.

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Background: The interaction between heparin and thrombin is a vital step in the blood (anti)coagulation process. Unraveling the molecular basis of the interactions is therefore extremely important in understanding the mechanisms of this complex biological process.

Methods: In this study, we use a combination of an efficient thiolation chemistry of heparin, a self-assembled monolayer-based single molecule platform, and a dynamic force spectroscopy to provide new insights into the heparin-thrombin interaction from an energy viewpoint at the molecular scale.

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Introduction: Thromboembolic incidences have increased nearly 33% in the past decade and directly affect nearly 0.5% of the population. Heparin, warfarin and current direct thrombin inhibitors (DTIs), the primary anticoagulants of choice, suffer from several drawbacks.

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In order to explore the educational model of combined research aidding basic medical education and clinical practice, the educational form of combined research, teaching and clinical practice was adopted and brought into the education of medical genetics for medical students. The consequence of five-year educational practice has revealed that the educational effects and quality have been obviously increased, and the deeply activated studying initiative, self-studying ability, ability of cooperation, discovering and creative ability have been achieved in culturing practical general medical students with in-depth basic knowledge, great ability and high quality.

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