The downregulation of miR-129-5p relieves the inflammatory response in acute respiratory distress syndrome by regulating PPARγ-mediated autophagy.

Background: The peroxisome proliferator-activated receptor γ (PPARγ) promotes autophagy and regulates the inflammatory response. However, the effects of the PPARγ on inflammation in acute respiratory distress syndrome (ARDS) are unclear. This study sought to explore the mechanism by which the downregulation of microRNA-129-5p (miR-129-5p) attenuates the inflammatory response in ARDS patients by regulating PPARγ-mediated autophagy.

Clinical Applicable AI System Based on Deep Learning Algorithm for Differentiation of Pulmonary Infectious Disease.

To assess the performance of a novel deep learning (DL)-based artificial intelligence (AI) system in classifying computed tomography (CT) scans of pneumonia patients into different groups, as well as to present an effective clinically relevant machine learning (ML) system based on medical image identification and clinical feature interpretation to assist radiologists in triage and diagnosis. The 3,463 CT images of pneumonia used in this multi-center retrospective study were divided into four categories: bacterial pneumonia ( = 507), fungal pneumonia ( = 126), common viral pneumonia ( = 777), and COVID-19 ( = 2,053). We used DL methods based on images to distinguish pulmonary infections.

CT imaging features of different clinical types of COVID-19 calculated by AI system: a Chinese multicenter study.

Background: The study is designed to explore the chest CT features of different clinical types of coronavirus disease 2019 (COVID-19) pneumonia based on a Chinese multicenter dataset using an artificial intelligence (AI) system.

Methods: A total of 164 patients confirmed COVID-19 were retrospectively enrolled from 6 hospitals. All patients were divided into the mild type (136 cases) and the severe type (28 cases) according to their clinical manifestations.