A Berkeley Lab team developed a novel software architecture called Neurodata Without Borders (NWB) to serve as a standardized language for neurophysiology data and data-descriptors. The resulting data is findable, accessible, interoperable, and reusable (FAIR), and enables neuroscientists to effectively describe and communicate about their experiments and share data.
Bioscientists to Receive DOE Funding for Biomanufacturing and Microbiome Research
Biosciences researchers are among the recipients of four new DOE awards. Two awards will focus on reducing carbon emissions while producing bioenergy. The other two are aimed at understanding the role of microbiomes in the biogeochemical cycling of elements like carbon.
Biomanufacturing Increases Available Supply of Anti-cancer Drug
The supply of a plant-derived anti-cancer drug can finally meet global demand after a team of scientists from Denmark and the U.S. engineered yeast to produce the precursor molecules, which could previously only be obtained in trace concentrations in the native plant. A study describing the breakthrough was recently published in Nature. The international team included four researchers from the Biological Systems and Engineering Division: Leanne Jade G. Chan, Edward Baidoo, Christopher J. Petzold, and Jay D. Keasling.
Thirdhand Smoke Harms the Body More Than We Ever Realized
A new study found that concentrations of toxic chemicals lingering indoors where cigarettes have been smoked can exceed risk guidelines from the State of California. This means that non-smokers can be exposed to health risks by living in contaminated spaces.
Researchers at Berkeley Lab Advance Cancer Research Using Artificial Intelligence
BSE Researchers recently published two studies that will help oncologists more precisely understand the state of their patients’ disease or their risk for cancer relapse. As with many diseases, cancer can be challenging to predict and in some cases, impossible to treat. This work, however, is pushing the boundaries of how science and artificial intelligence (AI) can be used to better understand the risks and outcomes of cancer in human health.
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