A new study using proteogenomics to compare cancerous tissue with normal fallopian tube samples advances insights about the molecular machinery that underlies ovarian cancer.

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

PNNL study evaluated "tunable" lighting and its effects on sleep at study in a California nursing home. Tunable refers to the ability to adjust LED light output and the warmth or coolness of the light color.

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

PNNL’s Jessica Collier received awards for her speaking skills and research at the Professional Lighting Design Convention in October.

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.

Advancements such as LEDs have changed consumers’ experience with lighting. Whereas there was once a simple choice of how much light a consumer desired, there’s now a variety of choices to be made about the appearance of light.

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.

A staple in horror movies, flickering lights can also summon potential human health and productivity concerns. PNNL studied hand-held meters that measure flicker, and the results could improve future measurement and lighting strategies.

Network Collapse, a virtual reality science, technology, engineering, and mathematics (STEM) app developed by PNNL researchers, has won a Gold Award from the 2019 International Serious Play Award.

PNNL’s Solid State Lighting program evaluated the energy and photometric performance of adjustable LED lighting systems installed in three California classrooms as part of a GATEWAY study.

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