Deep learning for the screening of primary ciliary dyskinesia based on cranial computed tomography.

To analyze the cranial computed tomography (CT) imaging features of patients with primary ciliary dyskinesia (PCD) who have exudative otitis media (OME) and sinusitis using a deep learning model for early intervention in PCD. Thirty-two children with PCD diagnosed at the Children's Hospital of Fudan University, Shanghai, China, between January 2010 and January 2021 who had undergone cranial CT were retrospectively analyzed. Thirty-two children with OME and sinusitis diagnosed using cranial CT formed the control group.

Increasing prevalence of hypervirulent ST5 methicillin susceptible subtype poses a serious clinical threat.

() is a clinical pathogen of great significance causing metastatic or complicated infections. ST5 clonotype isolates have dominated infections for more than 10 years in Shanghai, China, and the proportion of methicillin-susceptible (MSSA) has remarkably increased in the past decades. By whole-genome sequencing (WGS) 121 ST5 clonotype isolates using next-generation sequencing (NGS) platforms and characterizing the evolutionary dynamics of ST5 linages, we found that MSSA evolved independently, making it a subtype differed from other MRSA clones.