Research + Results
We keep you updated on news about our community members’ activities and innovative research.
Articles of Interest & Papers
Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology
September 6, 2019. Check out this new study, published today in Nature Communications, featuring research and results from the DBDS Rivas Lab, colleagues, and collaborators!
Rubin Lab Names One of Best Four 2018 Papers on Clinical Decision Support by IMIA!
September 3, 2019. The Rubin Lab's paper,* on AI modeling to predict survival of metastatic cancer patients to enable personalized treatment decision making, was named one of the 4 best papers (among 1,148 papers reviewed) published in 2018 on Clinical Decision Support by the International Medical Informatics Association (IMIA)!
16 new gene-based abnormalities found to increase risk for autism
August 8, 2019. The Wall Lab has released a new study in Cell, entitled "Inherited and De Novo Genetic Risk for Autism Impacts Shared Networks. " This is the largest whole genome sequencing study of its kind in this space, with some great discoveries including a new syndrome for autism.
Large dataset enables prediction of repair after CRISPR-Cas9 editing in primary T cells
July 29, 2019. This study, published in Nature Biotechnology, features work by DBDS Faculty member, James Zou, and members of the Zou Group.
Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features
May 28, 2019. This PLoS Computational Biology publication features the results of research conducted by DBDS Department Chair, Sylvia Plevritis, and members/alumni of her lab, Gina Bourchard and David Knowles.
Determining cell type abundance and expression from bulk tissues with digital cytometry
May 6, 2019. Stanford researchers, including Assistant Professor of Biomedical Data Science, Aaron Newman, have developed a computational platform for analyzing the molecular behavior of individual cells in tissue samples, opening the door for new discoveries, diagnostics and treatments.
BDS in the News
5 Questions: Tina Hernandez-Boussard on using ‘real-world data’ to inform clinical care
September 3, 2019. "In an interview, computational biologist [and DBDS Secondary Faculty/BMI Faculty] Tina Hernandez-Boussard discusses analyzing the value of electronic health records as a source of information in the clinic."
Wall Lab research featured in New York Times!
July 17, 2019. Read more about how "Google Glass May Have an Afterlife as a Device to Teach Autistic Children."
5 Questions: Genevieve Wojcik on the need for diversity in genome-based studies
June 20, 2019. DBDS Research Scientist, Dr. Gen Wojcik, "speaks about the lack of diversity in genomewide association studies, why it’s a problem and how increasing diversity in these studies can elevate the entire population."
AI can be sexist and racist — it’s time to make it fair
July 18, 2018. Computer scientists must identify sources of bias, de-bias training data and develop artificial-intelligence algorithms that are robust to skews in the data, argue James Zou (Stanford BDS) and Londa Schiebinger.
Stanford Daily Interview with DBDS Faculty James Zou
February 3, 2017- "In this series, The Stanford Daily sits down to talk with new faculty members on campus.
Assistant professor James Zou joined Stanford’s newly created biomedical data science department in the fall, teaching CS 273B: “Deep Learning in Genomics and Biomedicine” with Anshul Kundaje, assistant professor of genetics and computer science. The Daily sat down with Zou to discuss joining the Stanford community and his interests beyond his academic discipline."
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