Identification and Analysis of Biomarkers Associated with Lipophagy and Therapeutic Agents for COVID-19.

Background: Lipids, as a fundamental cell component, play an regulating role in controlling the different cellular biological processes involved in viral infections. A notable feature of coronavirus disease 2019 (COVID-19) is impaired lipid metabolism. The function of lipophagy-related genes in COVID-19 is unknown.

Analysis and identification of potential type II helper T cell (Th2)-Related key genes and therapeutic agents for COVID-19.

COVID-19 pandemic poses a severe threat to public health. However, so far, there are no effective drugs for COVID-19. Transcriptomic changes and key genes related to Th2 cells in COVID-19 have not been reported.

Geraniin as a potential inhibitor of SARS-CoV-2 3CL.

Geraniin is a polyphenolic compound first isolated from . The major protease (M), namely 3 C-like protease (3CL), of coronaviruses is considered an attractive drug target as it is essential for the processing and maturation of viral polyproteins. Thus, our primary goal is to explore the efficiency of geraniin on 3CL of SARS-CoV-2 using the computational biology strategy.

Artificial neural network optimizes self-examination of osteoporosis risk in women.

Objective: This study aimed to investigate the application of an artificial neural network (ANN) in optimizing the Osteoporosis Self-Assessment Tool for Asians (OSTA) score.

Methods: OSTA score was calculated for each female participant that underwent dual-energy X-ray absorptiometry examination in two hospitals (one in each of two Chinese cities, Harbin and Ningbo). An ANN model was built using age and weight as input and femoral neck T-score as output.