Development and validation of predictive factors influencing rheumatoid arthritis associated with interstitial lung disease.

Objective: This study is aimed at identifying key risk factors associated with the onset of rheumatoid arthritis-associated interstitial lung disease (RA-ILD) and developing and validating a novel risk prediction model for RA-ILD.

Methods: This is a hospital-based retrospective cohort study. A total of 459 RA patients were selected from Longhua Hospital Affiliated with Shanghai University of Traditional Chinese Medicine between 2015 and 2020 as observation subjects.

Use of Deep-Learning Genomics to Discriminate Healthy Individuals from Those with Alzheimer's Disease or Mild Cognitive Impairment.

Objectives: Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most common form of dementia in the elderly. Certain genes have been identified as important clinical risk factors for AD, and technological advances in genomic research, such as genome-wide association studies (GWAS), allow for analysis of polymorphisms and have been widely applied to studies of AD. However, shortcomings of GWAS include sensitivity to sample size and hereditary deletions, which result in low classification and predictive accuracy.

Traditional Chinese medicine on treating active rheumatoid arthritis: A protocol for systematic review and meta-analysis.

Background: Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease associated with progressive joint damage and disability. There is a lack of effective methods in the treatment of RA currently. Many clinical trials have proved that traditional Chinese medicine (TCM) has obvious advantages in the treatment of RA.