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.
Researchers in the Biological Systems and Engineering (BSE) Division are collaborating with colleagues at the Berkeley Lab Laser Accelerator (BELLA) Center to adapt the nascent technology of laser-driven ion accelerators to make a more effective type of radiation more readily available to patients. The mutually beneficial partnership gives BELLA scientists a real-world application around which to refine their experimental laser platform, and gives the biologists a chance to test how living tissue responds to laser-driven proton beams at FLASH dose rates.
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.
The thirdhand smoke (THS) research group in Biosciences’ Biological Systems and Engineering (BSE) Division contributed to three recently-published studies that further underscore the harms of exposure to the lingering toxic residues from tobacco smoke.
A team of researchers from two U.S. Department of Energy national laboratories has found new evidence of tangible connections between the gut and the brain. The team, led by Antoine Snijders at Berkeley Lab and Janet Jansson at Pacific Northwest National Laboratory (PNNL), identified lactate—a molecule produced by all species of one gut microbe—as a key memory-boosting molecular messenger. The work was published in the journal BMC Microbiome.