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.
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.
Scientists at Berkeley Lab are working to expand our understanding of breast cancer diagnosis and treatment. Recently, a group in the BSE Division developed a framework that enables the transfer of discoveries derived from mouse models to humans. This success will allow breast cancer researchers to better predict how likely a tumor in humans is to metastasize based on how the corresponding cells in mice behaved.
Drawn to science at an early age, Miaw-Sheue Tsai remembers enjoying biology more than any other subject in school. “Chemistry was okay, physics next, and math at the very end,” Tsai recollected. To her, basic science was most interesting because it represented a foundation for everything and, with that, the tools needed to build solutions for the world.
The Agile BioFoundry (ABF) hosted its virtual 2021 Industry Day on November 19, 2021 to showcase its capabilities and opportunities for joint research efforts. ABF team members presented on a variety of topics, including ABF operations and capabilities, methods for collaboration, and engagement through directed funding opportunities.