Software Searches, Sorts, and Visualizes Connections Between COVID Publications
The web-based tool, called PLATIPUS, is publicly available and interacts with publications available in the CovidScholar database.
Zeroing in on Zoonotic Diseases
A Q&A with Lauren Charles, veterinarian and PNNL data scientist, on zoonotic diseases and the role biosurveillance plays in mitigating the growing threat to global health.
Revealing the Genes that Respond to Viral Infections
Hypergraphs can more faithfully identify important genes in complex immune responses.
Shadow Figment: Model-Driven Cyber Defense for Control Systems
Remembering 9/11: A Legacy of Homeland Security
PNNL commemorates 9/11 and reflects on the 20 years of science and technology produced since to protect against threats and make America safer.
Better Simulations for Multiscale Models
PNNL researchers developed a way to produce accurate simulations of complex physical systems using renormalized approximations across multiple scales
The Center for Advanced Technology Evaluation renewed by DOE
DOE’s continued support will allow CENATE researchers to advance computing through the evaluation of novel technologies.
Trusted and Responsible AI
PNNL has developed a tool suite of interactive analytics that can be rapidly integrated into analyst workflows to empirically analyze and gain qualitative understanding of AI model performance jointly across dimensions.
New Clues about How Night Shift Work Increases Cancer Risk
Night shift work disrupts the natural 24-hour rhythms in the activity of certain cancer-related genes, making workers more vulnerable to damage to their DNA.
Henry Accepts Joint Appointment with Texas A&M University
Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.