Capturing the potentially strong dependence among the peak concentrations of multiple air pollutants across a spatial region is crucial for assessing the related public health risks. In order to ...

Objective: To investigate factors associated with fetal fraction and to develop a new predictive method for low fetal fraction before noninvasive prenatal testing. Methods: The study was a ...

We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...

Dasatinib (D) in combination with weekly (w) paclitaxel (P) for patients (pts) with metastatic breast carcinoma (MBC): A phase I/II study. Background: In the absence of curative treatment for the ...

This important study applies a novel signal decomposition method to disentangle distinct signals contributing to the decision-making process, and provides convincing evidence for the operation of ...

A multidimensional approach to improve care and outcomes for people with inflammatory breast cancer (IBC).

A research team has developed a new artificial intelligence (AI) model that harnesses unmanned aerial vehicle (UAV) data to ...

Derek Weix, MS, PhD grew up in Texas, where he earned a B.A. in mathematics from Trinity University in San Antonio and an MS and PhD in statistical science from Baylor University in Waco. His research ...

Summary: A new AI framework can detect neurological disorders by analyzing speech with over 90% accuracy. The model, called CTCAIT, captures subtle patterns in voice that may indicate early symptoms ...