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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Real-time risk prediction model for sepsis in patients with acute gastrointestinal bleeding: development and multicenter validation of a dynamic monitoring tool
Keywords Acute gastrointestinal bleeding (AGIB) Sepsis Nomogram Predictive model Shapley additive explanations (SHAP) Evidence before this study We systematically searched PubMed and Web of Science from inception to December 2024 using terms ("acute gastrointestinal bleeding" OR "AGIB") AND ("sepsis prediction" OR "sepsis risk"), identifying critical evidence gaps through English-language literature.
Use of Metagenomic Next-Generation Sequencing to Identify Pathogens In
Central nervous system (CNS) infections affecting the brain and spinal cord are primarily caused not only by bacteria and viruses but also by fungi and parasites. CNS infections are severe and life-altering conditions, and they are the most frequent cause of hospitalizations in many developing countries, making them a significant public concern.1 Globally, CNS infectious disease has a high mortality rate.2 It is difficult to diagnose CNS infections.
Therapeutic Targets for Cerebral Ischemia Based on the Signaling Pathways of the GluN2B C Terminus
Overactivation of the N-methyl-d-aspartate receptor (NMDAR) after cerebral ischemia is a crucial reason for neuron death. Although NMDAR antagonists have exhibited neuroprotective effects in animal models, it is disappointing that several severe side effects have occurred in patients. NMDAR is a heteromer containing 2 obligate N-methyl-D-aspartate receptor 1 (GluN1) subunits and a variety of GluN2 and GluN3 subunits.
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