Vigorous exercise burns fat more in males than in females, but the benefits of exercise are broad for both sexes.

Three PNNL-affiliated researchers have been named fellows of the American Association for the Advancement of Science, the world’s largest multidisciplinary scientific society.

Data reveals mechanisms in our bodies that can help us fight viral pathogenesis.

New apps help researchers with statistical analyses of data.

Researchers devised a quantitative and predictive understanding of the cloud chemistry of biomass-burning organic gases helping increase the understanding of wildfires.

Scientists have learned more about how to protect the insulin-producing cells that die in patients with Type 1 diabetes.

PNNL researchers helped identify a fragment from the SARS-CoV-2 virus that spurs severe illness.

Scientists have learned more about how drug resistance develops in patients with acute myeloid leukemia and how the process might be slowed.

Spatial proteomics enables researchers to link protein measurements to features in the image of a tissue sample, which are lost using standard approaches.

The new PTM-Psi workflow opens the door for uncovering molecular insights within proteomics datasets.

PNNL is one of the founding partners of the Trillion Parameter Consortium, which was formed to create reliable generative AI models.

PNNL scientists took thousands of measurements of firefighters in training to learn more about how the body responds to vigorous exercise.

Tumeo will lead the ChemComp project, which was awarded for Exploratory Research in Extreme Scale Science

High fidelity simulations enabled by high-performance computing will allow for unprecedented predictive power of molecular level processes that are not amenable to experimental measurement.

PNNL is collaborating with Microsoft, Micron and other partners to make computational chemistry broadly available.

Scientists have opened a new view into the workings of the central nervous system, finding a diverse set of important molecules.

PNNL data scientist in the Biological Sciences Division won the 2023 JSM Data Challenge Expo. The award-winning analysis focused on the ability to identify crime patterns by correlating them with historical events and trends.

The Rapid Assessment of Platform Technologies to Expedite Response project aims to prepare against future pandemics.

Small teams in the Biological Sciences Division at PNNL and at EMSL—the Environmental and Molecular Sciences Laboratory, an Office of Science user facility at PNNL—are pros at preparation.

Scientists have taken an important step forward in predicting who will develop Type 1 diabetes months before symptoms appear.