UTILIZING LARGE LANGUAGE MODELS TO SELECT LITERATURE FOR META-ANALYSIS SHOWS WORKLOAD REDUCTION WHILE MAINTAINING A SIMILAR RECALL LEVEL AS MANUAL CURATION

Abstract Background Large language models (LLMs) like ChatGPT showed great potential in aiding medical research.A heavy workload in filtering records is needed during the research process of evidence-based medicine, especially meta-analysis.However, few studies tried to use LLMs to help screen records in meta-analysis.Objective In this research, we

Aim.To investigate the role of AMPK activation and autophagy in mediating the beneficial effects of exercise and caloric restriction in obesity.Methods.Dietary-induced obesity mice were made and divided into 5 groups; one additional group of normal mice serves as control.Mice in each group received different combinations of interventions including

The vacuolating cytotoxin (VacA) of the gastric pathogen Helicobacter pylori binds and enters epithelial cells, ultimately resulting in cellular vacuolation.Several host factors have been reported to be important for VacA function, but none of these have been demonstrated to be essential for toxin binding to the plasma membrane.Thus, the identity o

The direct immersion in the fateful event of the Maidan for Ukraine made it possible to keep a conscious mind on the pulse of its course while at the same time contributing to a critical understanding of its information display.In the title of our book, "Maidan and the Church: Chronicle of Events and Expert Evaluation" (K, 2014), there was fixed a

The target of rapamycin (TOR) kinase coordinately regulates fundamental Espresso Cups metabolic and cellular processes to support growth, proliferation, survival, and differentiation, and consequently it has been proposed as a therapeutic target for the treatment of cancer, metabolic disease, and aging.The TOR kinase is found in two biochemically a