5/3/2019 - Thanks to cutting-edge machine learning techniques developed by IEOR’s Risk Analytics and Data Analysis Research (RADAR) Lab at UC Berkeley, millions of diabetic patients now have a cheaper and more accurate way to screen for eye disease.
5/1/2019 Researchers have created a flexible sensor that can be used over large areas of skin, tissue and organs to detect blood-oxygen levels.
5/1/2019 A new study shows that a single season of high school football may cause microscopic changes in the structure of the brain.
5/1/2019 Rikky Muller is building tiny, wireless devices that can be implanted in the brain, with the aim of treating conditions such as epilepsy or spinal cord injuries.
5/1/2019 Ricardo San Martin weighs in on the alternative meat industry and the challenges of developing plant-based meats.
5/1/2019 Heather Bowerman’s company, DotLab, has developed the first non-invasive test for endometriosis.
5/1/2019 Artificial intelligence can identify individuals by correlating step data from activity trackers and smartphones with demographic data.
5/1/2019 DETECT is a test that can quickly identify strains of antibiotic-resistant bacteria by recognizing specific enzymes in urine samples.
4/3/2019 American Chemical Society - UC Berkeley researchers develop a rapid, cost-effective method to make lead pipes safe.
1/28/2019 USA Today - Manufacturers say data stripped of identifying information is no privacy risk. But UC Berkeley's Anil Aswani and UCSF's Yoshimi Fukuoka found that artificial intelligence can overcome that. Time to update health privacy laws.