Quantitative CT and COPD: cluster analysis reveals five distinct subtypes with varying exacerbation risks.

Background: The heterogeneity of chronic obstructive pulmonary disease (COPD) is increasingly recognized. To characterize the heterogeneity of COPD, we aimed to identify subtypes related to quantitative CT by using principal component analysis (PCA) and cluster analysis.

Methods: The data of 1879 participants in the SPIROMICS study were obtained from the NHLBI Biologic Specimen and Data Repository Information Coordinating Center.

A fully automated U-net based ROIs localization and bone age assessment method.

Bone age assessment (BAA) is a widely used clinical practice for the biological development of adolescents. The Tanner Whitehouse (TW) method is a traditionally mainstream method that manually extracts multiple regions of interest (ROIs) related to skeletal maturity to infer bone age. In this paper, we propose a deep learning-based method for fully automatic ROIs localization and BAA.

Exploring Multiconnectivity and Subdivision Functions of Brain Network via Heterogeneous Graph Network for Cognitive Disorder Identification.

Brain serves as a critical cornerstone of human intelligence, which involves a series of complex neuropsychological activities that lead to the coordination of various functions in the brain network. In recent years, brain network analysis methods based on graph neural networks (GNNs) have attracted increasing attention for the identification of brain disorders. However, these methods generally assume that the brain network is a homogeneous graph while ignoring its heterogeneity among human brain activities, which is reflected in both the complex connectivity of the brain network and distinctive brain functions.