A lncRNA-mRNA regulatory module of lung adenocarcinoma (LUAD)
Public gene expression data of three cohorts were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Differential expression analysis between LUAD and normal samples and survival analysis were performed. The protein-protein interaction (PPI) network and co-expression analysis were conducted as a further screening. The least absolute shrinkage and selection operator (LASSO) Cox regression model was developed to predict overall survival. Machine learning models were trained to recognize early-stage LUAD or EGFR-mutation.
Subphenotypes of lung adenocarcinoma (LUAD)
Risk prediction of RBC transfusion during or after liver transplantation
The ALICE score (Acute myocardial ischemia, Lactate, Iliac arteries involved, and CreatininE are comprised) is a more reliable preoperative score for detecting fatality-prone patients than previously published preoperative risk scores for acute type A aortic dissection (aTAAD) in external validation, which might help bedside clinicians in early detection of the most severe aTAAD patients.
Luo JC*, Zhong J*, Duan WX*, et al. Early risk stratification of acute type A aortic dissection: development and validation of a predictive score. Cardiovasc Diagn Ther; 2020. DOI: 10.21037/cdt-20-730.
Prediction of sepsis-induced coagulopathy (SIC) in critically ill patients with sepsis
Prediction of extubation failure
Prediction of NIV failure
AI Medical Lab