In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...

Researchers at Texas Children's Neurological Research Institute (NRI) and Baylor College of Medicine have developed a powerful new tool within the Genome Aggregation Database (gnomAD) to sharpen the ...

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...

Real-world data (RWD) is increasingly used for causal inference in healthcare research, but generating credible, decision-ready insights requires more than access to data. It demands intentional ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability*, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

This paper describes threats to making valid causal inferences about pandemic impacts on student learning based on cross-year comparisons of average test scores. The paper uses Spring 2021 test score ...

(Medical Xpress)—When influenza vaccinations are unavailable, public health policy favors nonpharmaceutical household interventions. So households also present perfect settings for researchers to ...

A new study links increased plastic waste imports to measurable increases in PM2.5 near waste disposal sites in Indonesia.