Based on interpretable machine learning, Lai et al. [98] investigate the endoplasmic reticulum (ER) stress-related gene function in AD patients and identify six feature-rich genes (RNF5, UBA C2, DNAJC10, RNF103, DDX3X, and NGLY1) that enable accurate prediction of AD progression. Here, RNF5 is linked to Alzheimer disease.