New AI model improves prediction power for genomics related to disease
Exploring genomic factors with new supercomputer to potentially aid drug development
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Software application keeps public safer from potential airborne radiological releases
Developed by Los Alamos National Laboratory, QUIC-DEPDOSE accurately measures the spread of radiological particles from the kilometer to micron level
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Machine learning model identifies drug design possibilities
Data-driven models identify properties to overcome pathogen defenses
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Los Alamos National Lab program announces 2024 fellows for ‘deep tech’ entrepreneurs
Fellows will collaborate with Lab scientists to perfect a life-saving surgical device, a fiber-optic fabric and a system for levitating in the mesosphere
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Los Alamos HIV databases support global battles with disease
Our databases now serve more than 10,000 unique website visits per month
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Tracking fungal pathogens and disease beyond sci-fi television
Los Alamos scientists prepare for mushrooming threats
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Supercomputer simulation attacks problem of drug-resistant bacteria
Understanding molecular processes can improve the antibiotics and vaccines that fight disease
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Getting ahead of climate-driven epidemics
How changing temps could affect transmission of dengue fever
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Research examines key factors related to COVID-19 variant dynamics
The study is the most comprehensive characterization of global COVID-19 variant transitions to date
Read Nowabout the article: Research examines key factors related to COVID-19 variant dynamics
Predicting pandemics through museum animal collections
Coalition studies UNM museum samples to explore pathogens
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Pinpointing HIV immune response
Refined understanding of T cells’ action in the body’s battle against the AIDS-causing virus will help improve treatments