Mina Bissell, Curt Hines, and Irene Kuhn of the Biological Systems & Engineering Division led the development of the first clinically-relevant mouse model of human breast cancer to successfully express functional estrogen receptor positive adenocarcinomas. This model should be a powerful tool for testing therapies for aggressive ER+ breast cancers and for studying luminal cancers. Read more at the Berkeley Lab News Center.
Deep learning is not a new concept in academic circles or behind the scenes at “Big Data” companies like Google and Facebook, where algorithms for automated pattern recognition are a fundamental part of the infrastructure. A collaborative effort at Berkeley Lab is working to apply deep learning software tools developed for high performance computing environments to a number of “grand challenge” science problems running computations at the National Energy Research Scientific Computing Center (NERSC) and other supercomputing facilities. Researchers in Berkeley Lab’s Biological Systems and Engineering Division, including Kris Bouchard, are using a deep learning library to analyze recordings of the human brain during speech production. More information about deep learning at NERSC.
Distinguished Scientist Mina Bissell of the Biological Systems & Engineering Division accepted the 2015 Ernst W. Bertner Memorial Award last month at the 58th Annual Symposium on Fundamental Cancer Research. The award is conferred annually on a physician or scientist who has made distinguished contributions to cancer research. Established in 1950 in honor of the first acting director of MD Anderson and first president of the Texas Medical Center, it is the oldest award conferred by The University of Texas MD Anderson Cancer Center.
The Berkeley Lab Director’s Office has announced the recipients of the 2015 Director’s Awards for Exceptional Achievement. Awardees included three women-researchers from the Biological Systems & Engineering Division: Eleanor Blakely, Sarah Richardson, and Corinne Scown.
The U.S. Department of Energy (DOE)’s Lawrence Berkeley National Laboratory (Berkeley Lab) has won seven 2015 R&D 100 awards. This year’s winners include two technologies developed by researchers in the Biosciences Area. Ben Bowen of the Environmental Genomics and Systems Biology Division and Oliver Rübel of the Computational Research Division led the development of OpenMSI, a new way to analyze and visualize mass spectrometry data. Seung-Wuk Lee of the Biological Systems and Engineering Division led the development of the Sensor Integrated with Recombinant and Engineered Nanophage (SIREN) platform. SIREN uses bio-nanofilms with tunable functionality to create portable devices for detecting small molecules of interest. Read more about these and the other five R&D 100 Awards won by Berkeley Lab at the News Center.