Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

Currently hierarchical data models (HDM) must be generated with the same EDA tool that customers will use to consume the HDM ...

BhGLM is a freely available R package that implements Bayesian hierarchical modeling for high-dimensional clinical and genomic data. It consists of functions for setting up various Bayesian ...

There were modest reductions in cognitive performance seen for longer fasting intervals and for younger vs older participants during fasts.

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

A new KAUST-developed workflow helps researchers efficiently test and validate the assumptions underlying complex statistical models to ensure more reliable results.

Microcredentials operate differently from traditional education, and they call for a more flexible, adaptable system to ...