The scientific and national security communities have long shared an unmet need for a tool capable of quickly and reliably distinguishing genetically modified organisms from naturally occurring ones. Over the course of a six-year program funded by the United States Intelligence Advanced Research Projects Activity (IARPA), several techniques were developed and refined. Biosciences Area researchers led testing and evaluation of these technologies, designing and producing biological samples of increasing complexity to assess how well the tools performed.
R&D 100 Awards Are In!
Seven innovative technologies from Berkeley Lab have been honored with a 2022 R&D 100 Award. Biosciences Area researchers contributed to two different products that were awarded.
Microbes to the Rescue
A team of researchers from the Biosciences Area at Berkeley Lab and the University of Birmingham in the United Kingdom found one particular organism in the fly’s microbiome that helps protect it from atrazine, an herbicide toxic to flies that is commonly used in agriculture. This method of rescuing fruit flies from atrazine poisoning with probiotics may be useful for protecting pollinators in agriculture.
Cell ‘Fingerprinting’ Could Yield Alzheimer Disease Diagnostic
A technology developed by Cynthia McMurray, a senior scientist in the Molecular Biophysics and Integrated Bioimaging Division, and her team shows great promise for diagnosing Alzheimer disease before symptoms arise. This disease affects millions of people worldwide and is estimated to be the sixth leading cause of death in the United States.
Using Machine Learning to Estimate COVID-19’s Seasonal Cycle
A cross-disciplinary team of Berkeley Lab scientists with expertise in climate modeling, data analytics, machine learning, and geospatial analytics is launching a project to determine if the novel coronavirus might be seasonal. The team will apply machine-learning methods to a plethora of health and environmental datasets, combined with high-resolution climate models and seasonal forecasts.
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