Mapping enhancer-gene regulatory interactions from single-cell data.

Mapping enhancers and their target genes in specific cell types is crucial for understanding gene regulation and human disease genetics. However, accurately predicting enhancer-gene regulatory interactions from single-cell datasets has been challenging. Here, we introduce a new family of classification models, scE2G, to predict enhancer-gene regulation.

Network meta-analysis examining efficacy of components of cognitive behavioural therapy for insomnia.

Cognitive behavioural therapy for insomnia (CBTI) is recommended as first-line treatment for insomnia. CBT-I is a multi-component intervention comprising psychoeducation, sleep restriction, stimulus control, cognitive, and relaxation therapy. The relative efficacy of its components has yet to be investigated with state-of-the-art meta-analytic methods.

Enhancing vascular access planning in CKD: validating the 40% KFRE threshold for predicting ESKD in a French retrospective cohort study.

Background: Establishing the optimal timing for creating vascular access in patients with chronic kidney disease (CKD) is a critical and challenging aspect of patient management. The Kidney Disease: Improving Global Outcomes guidelines propose using a 40% 2-year threshold based on the Kidney Failure Risk Equation (KFRE) for this purpose. However, the effectiveness of this threshold compared with traditional methods, such as estimated glomerular filtration rate (eGFR), is not well-established.