Artificial intelligence helps researchers identify metabolites, the small molecules that underlie life.

Quantum computing experts gather in the Pacific Northwest to discuss challenges and progress.

PNNL scientists are on the front lines fighting against biological threats through early detection, diagnosis, and prevention strategies.

A new study focusing on the proteins involved in endometrial cancer, commonly known as uterine cancer, offers insights about which patients will need aggressive treatment and which won’t.

PNNL scientists Richard (Dick) Smith and Ljiljana (Lili) Paša-Tolić are recognized by The Analytical Scientist in its 2019 Power List as two of 2019’s top 100 minds in analytical science.

B3? E4? Remember the board game Battleship? One player suggests a set of coordinates to another, hoping to find the elusive location of an unseen vessel.That is a good place to start in assessing the search for dark matter.

Researchers at PNNL are applying deep learning techniques to learn more about neutrinos, part of a worldwide network of researchers trying to understand one of the universe’s most elusive particles.

Jaehun Chun spoke at a National Academies of Sciences, Engineering, and Medicine open data-gathering session on separation science.

Fifteen PNNL scientists are part of a team that has identified a set of biomarkers that indicate which patients infected with the Ebola virus are most at risk of dying from the disease.

The Multi-omics for Microbiomes conference focused on different approaches that let researchers paint better pictures of microbial communities.

Scientists detect phenomenon in lab that occurs during neutron star formation and supernovae explosions.