Yanfei Chen

TL;DR: The gut microbiome in liver cirrhosis is characterized by comparing 98 patients and 83 healthy control individuals and on the basis of only 15 biomarkers, a highly accurate patient discrimination index is created and validated on an independent cohort, suggesting microbiota-targeted biomarkers may be a powerful tool for diagnosis of different diseases.

TL;DR: Attention to patients with COVID-19 with non-classic symptoms should increase to protect health providers, and sequence mutation of SARS-CoV-2 with m6A methylation and changed binding capacity with ACE2 was showed.

TL;DR: Fecal microbial communities are distinct in patients with cirrhosis compared with healthy individuals, and the prevalence of potentially pathogenic bacteria, such as Enterobacteriaceae and Streptococcaceae, with the reduction of beneficial populations such as Lachnospiraceae in Patients with Cirrhosis may affect prognosis.

TL;DR: The deep learning models established in this study were effective for the early screening of COVID-19 patients and were demonstrated to be a promising supplementary diagnostic method for frontline clinical doctors.

TL;DR: Wang et al. as mentioned in this paper used a 3-dimensional deep learning model to segment COVID-19 pneumonia from healthy cases with pulmonary CT images and calculated the infection type and total confidence score of this CT case with Noisy-or Bayesian function.