First-of-its-kind network analysis on a supercomputer can speed real-time applications for cybersecurity, transportation, and infectious disease tracking

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.

At a conference featuring the most advanced computing hardware and software, ML in its various guises was on full display and highlighted by Nathan Baker’s featured invited presentation.

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.

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.

Monitoring the activity within a network in real-time can allow cybersecurity staff to detect cyberattacks quickly, before thieves steal data or crash your system.