Student Perspective

Annanya Sethiya

M.S. Plan II - Comprehensive Exam

News

Bioengineers awarded $14M from NIH to build digital maps of brain, other organs at single-cell level

November 2, 2018

Bioengineers awarded $14M from NIH to build digital maps of brain, other organs at single-cell level

Kun Zhang, professor of bioengineering at the University of California San Diego Jacobs School of Engineering, has received $14 million in grants from the National Institutes of Health to build 3D, digital single-cell maps of the human brain and organs in the respiratory and urinary systems. The work aims to provide a deeper understanding of the functions and malfunctions of organs in the human body at the level of individual cells. Full Story


UC San Diego Signs MOU with Foundation for Biomedical Research and Innovation at Kobe

October 26, 2018

UC San Diego Signs MOU with Foundation for Biomedical Research and Innovation at Kobe

The University of California San Diego and the Foundation for Biomedical Research and Innovation at Kobe (FBRI) have entered into a five-year memo of understanding (MOU). The MOU was announced Oct. 19, 2018 in Japan at the 20thanniversary celebration of the Kobe Biomedical Innovation Cluster, of which FBRI is the core research institute.The MOU affirms a shared interest between UC San Diego and FBRI in cooperative biomedical research that will include joint research projects and publications, co-hosting seminars and workshops, and site visits. The primary contacts for the MOU are Dr. Shu Chien for UC San Diego and Dr. Ryuji Hiramatsu for FBRI. Full Story


Machine learning identifies antibiotic resistance genes in tuberculosis-causing bacteria

October 25, 2018

Machine learning identifies antibiotic resistance genes in tuberculosis-causing bacteria

Researchers have trained a machine learning algorithm to identify and predict which genes make infectious bacteria resistant to antibiotics. The approach was tested on strains of Mycobacterium tuberculosis—the bacteria that cause tuberculosis (TB) in humans. It identified 33 known and 24 new antibiotic resistance genes in these bacteria. The approach could be used to predict resistance in other infection-causing pathogens. Full Story