Lawrence Livermore National Laboratory

The Lawrence Livermore Nationality Laboratory (LLNL) was founded by the University of California in 1952. The US Department of Energy funds LLNL and is managed by Lawrence Livermore Nationality Security, LLC. LLNL's primary purpose is scientific research and investigations pertaining to national security, including weapons of mass destruction, non-destructive testing, nuclear power, all forms of energy including wind, solar and the like. LLNL is an expert on x-ray and the development of new techniques to evaluate radiation and a host of new imaging devices for testing devices.

Address
P.O. Box 808, Livermore, CA 94551-0808
Website
https://www.llnl.gov/
Wikipedia
http://en.wikipedia.org/wiki/Lawrence_Livermore_National_Laboratory

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New technique to analyze fentanyl in blood and urine

A team of Lawrence Livermore National Laboratory (LLNL) scientists has developed a new technique to analyze fentanyl in human blood and urine samples that could aid work in the fields of medicine and chemical forensics.

Medications

Developing drugs to help fight Rift Valley fever virus

Research by Lawrence Livermore National Laboratory (LLNL) scientists suggests that immune responses could be bolstered by drugs to help people recover from brain infections caused by an emerging pathogen.

Biomedical technology

Microfabricated thin-film electrodes show therapeutic promise

Earlier this year, thin-film microgrid arrays developed at Lawrence Livermore National Laboratory (LLNL) and used in neurologist Jon Kleen's patients at the University of California, San Francisco (UCSF) showed that hippocampal ...

Neuroscience

Thin-film electrodes reveal key insight into human brain activity

Thin-film electrodes developed at Lawrence Livermore National Laboratory (LLNL) have been used in human patients at the University of California, San Francisco (UCSF), generating never-before-seen recordings of brain activity ...

Health informatics

'Self-trained' deep learning to improve disease diagnosis

New work by computer scientists at Lawrence Livermore National Laboratory (LLNL) and IBM Research on deep learning models to accurately diagnose diseases from X-ray images with less labeled data won the Best Paper award for ...

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