Researchers at University of California San Diego School of Medicine have been selected to lead components of the National Institutes of Health (NIH) Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program.
Two faculty in the Bioinformatics and Systems Biology Graduate Program have leading roles in this project. Trey Ideker, PhD, professor at UC San Diego School of Medicine, will serve as principal investigator for one of the Data Generation Projects. Lucila Ohno-Machado, MD, PhD, professor and associate dean for informatics and technology at UC San Diego School of Medicine, will serve as a principal investigator for the Bridge Center.
“This is the first time NIH has invested in biomedical AI at this scale, and we are thrilled to be a part of it,” said Ideker. “UC San Diego has proven itself to be a pioneer in clinical and research AI technology, but this funding will help cement our place in the AI revolution.”
UCSD's Bioinformatics Undergraduate Program is ranked #1 in US News & World Report's category Best Undergraduate Biocomputing/Bioinformatics/Biotechnology Programs.
Congratulations to Yue Qin, a Ph.D. student in Bioinformatics & Systems Biology, on being awarded a Friends of the International Center Endowed Fellowship! This is awarded to a student who promotes international friendship, understanding, and cooperation.
In a pair of related studies published in Science, researchers at University of California San Diego, with colleagues on four continents, show that the origin of the COVID-19 pandemic in 2019 was at the Huanan Seafood Wholesale Market in Wuhan, China, and resulted from at least two instances of the SARS-CoV-2 virus jumping from live animal hosts to humans working or shopping there.
The first paper's lead author is Jonathan Pekar, a Ph.D. student in Bioinformatics and Systems Biology, and the main PI is BISB Prof. Joel Wertheim. Coauthors also include BISB Ph.D. student Jennifer Havens, BISB Prof. Niema Moshiri, and Moshiri Lab undergraduate student Katherine Izhikevich. The second paper was also coauthored by Jonathan Pekar and Prof. Joel Wertheim.
Image credit: Charlotte (Curtis) Marquez
By combining microscopy, biochemistry techniques and artificial intelligence, researchers at University of California San Diego School of Medicine and collaborators have taken what they think may turn out to be a significant leap forward in the understanding of human cells. The technique, known as Multi-Scale Integrated Cell (MuSIC), has been published in Nature.
“The combination of these technologies is unique and powerful because it’s the first time measurements at vastly different scales have been brought together,” said study first author Yue Qin, a Bioinformatics and Systems Biology graduate student. The authors also include Bioinformatics and Systems Biology faculty Trey Ideker and Gene Yeo, and 25 other collaborators.
UCSD press release: We Might Not Know Half of What’s in Our Cells, New AI Technique Reveals
Nancy Yuan, a Ph.D. student in Bioinformatics & Systems Biology, has been awarded a TRDRP (Tobacco-Related Disease Research Program) predoctoral research fellowship.
"Swapping Metagenomics Preprocessing Pipeline Components Offers Speed and Sensitivity Increases." MSystems. 2022:e0137821. PubMed DOI
"Applications and Comparison of Dimensionality Reduction Methods for Microbiome Data." Front Bioinform. 2022;2:821861. DOI
"Mapping clustered mutations in cancer reveals APOBEC3 mutagenesis of ecDNA." Nature. 2022;602(7897):510-517. PubMed PMC DOI