Predicting Combat Wound Recovery
Meta and targeted genomic analysis and machine learning predict wound healing outcomes and lay the groundwork to potentially save lives.
Building Confidence in Materials Modeling Using Statistics
Livermore researchers build confidence in materials modeling using a statistics-based approach for assessing sources of uncertainty in material strength research.
The Shape of 3D Printing to Come
Recent materials findings combined with a specialized additive manufacturing technology move consumer 3D printing-on-demand one step closer to reality.
Commentary by Patricia Falcone
Deputy Director of Science and Technology
The COVID-19 Experiment
The Laboratory in the News
Awards
Patents
Science & Technology Review is published eight times a year to communicate, to a broad audience, the Laboratory’s scientific and technological accomplishments in support of national security and other enduring national needs. The publication’s goal is to help readers understand these accomplishments and appreciate their value to the individual citizen, the nation, and the world. | Subscribe to S&TR
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