News: Statistics and Data Sciences

Epidemiologists found that treating even 20% of symptomatic cases would save lives and improve public health.

Building on decades-long leadership, UT will prioritize AI research and education throughout the year ahead and put this leadership on display through signature events, new...

From a brain decoder to a supermassive black hole to a cancer drug advance, College of Natural Sciences researchers made breakthroughs this year.

Deaths from coal were highest in 1999, but by 2020 decreased by about 95%, as coal plants have installed scrubbers or shut down.

Lauren Ancel Meyers and colleagues will help scale up decision-support tools that were successful in earlier outbreaks for use across jurisdictions.

Vagheesh Narasimhan and Prakash Jayakumar trained an AI on x-ray images from tens of thousands of people in the UK Biobank.

In our endless summer, research on heat impacts offers insights on how best to adapt.

An application of AI to medical imaging datasets has revealed genetics of the skeletal form for the first time.

A study in PLOS Computational Biology from University of Texas at Austin epidemiologists examined COVID infection and hospitalization rates by zip code.

Roger Peng, a professor in the Department of Statistics and Data Sciences, contributed to a new study of childhood asthma in JAMA.