AI-enabled research tools can accelerate health research, but their data-science roots may clash with epidemiological ...

Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...

Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

Researchers at Duke University have shown that blocking an enzyme involved in iron regulation not only kills multiple myeloma cancer cells, but also increases the effectiveness of current therapies ...

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...

ABSTRACT: The role of school principals in shaping effective learning environments and supporting positive student outcomes has gained increasing recognition in educational research and policy. This ...