International Perfusion Association

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Day: February 10, 2024

Heart Failure

Novel Pan-ERR Agonists Ameliorate Heart Failure Through Enhancing Cardiac Fatty Acid Metabolism and Mitochondrial Function

This study introduces two pan-ERR agonists, SLU-PP-332 and SLU-PP-915, demonstrating their efficacy in improving heart function in a heart failure (HF) model. By activating ERRα and ERRγ, these agonists significantly enhance ejection fraction, reduce fibrosis, and increase survival without affecting cardiac hypertrophy. Their action activates metabolic genes, particularly those involved in fatty acid metabolism and mitochondrial function, leading to normalized metabolic profiles and increased mitochondrial oxidative capacity. ERRγ was identified as the primary mediator of these beneficial effects, offering potential for ERR agonists as novel HF therapeutics.

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Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

This study evaluates the effectiveness of OpenAI’s GPT and GPT-4 in streamlining the systematic review process of clinical research papers. By automating the screening of titles and abstracts against human benchmarks, the models demonstrated high accuracy and efficiency, with an accuracy of 0.91 and a macro F1-score of 0.60. The comparison with human reviewers showed a significant reduction in time and effort, highlighting the models’ potential to improve the quality and reliability of clinical reviews. The findings suggest that GPT models can serve as valuable aids in medical research, enhancing both the speed and accuracy of literature screening.

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