Kong et al. reported that combined analysis using WGCNA and machine-learning algorithms (LASSO, SVM-RFE, and RF) identified CHCHD4, TMEM53, ACPP, AASDH, P2RY1, CASP3, and AQP7 as potential biomarkers for HF based on the GSE57338 dataset (53). The gene discussed is AASDH; the disease is hydrops fetalis.