Oct 27, 2016

CPCP at the Wisconsin Science Festival

CPCP faculty, postdocs, staff, and graduate students worked together to develop and present three interactive Big Data exploration stations at the 2016 Wisconsin Science Festival. The Wisconsin Science Festival is a statewide event that strives to inspire curiosity and creativity by providing opportunities for people of all ages to explore, engage and discover science. This year the Wisconsin Science Festival event at the University of Wisconsin-Madison was attended by a large number of community members in the Madison area including more than 4,000 children on school field trips.

This outreach provided an opportunity for visitors to discover several types of Big Data studied in CPCP and to interact with some of the scientists working in the center. Visitors also had the opportunity to learn about the challenges faced by CPCP researchers as they work to develop new methods of analyzing biomedical Big Data with the goal of improving human health. At our neuro-imaging exploration station, visitors explored MRI images of the brain that CPCP researchers are using to predict Alzheimer’s disease. Our EHR exploration station used a set of Pokémon-based games to demonstrate to visitors the challenges facing researchers as they study electronic health records. At our final exploration station, visitors participated in a crowdsourced assembly of a human gene sequence using colored beads to represent the bases in DNA sequences. This activity provided an opportunity to discuss the Big Data challenges faced by researchers in CPCP’s Epigenome- and Transcriptome-based Phenotyping projects. 

Aug 18, 2016

UW2020 WARF Discovery Initiative Grant Awarded

The CPCP Phenotype Models for Breast Cancer Screening project team was recently awarded a 2-year, $500,000 grant to advance the precise targeting of breast cancer prevention and early detection by rapidly moving from the discovery of individual DNA variants called single nucleotide polymorphisms (SNPs) that appear to predict the risk of developing breast cancer, to their application in clinical settings. The group will also add to the predictive power of SNPs by pairing them with information on an observed physical difference --breast density -- that captures the effects of both genes and the environment.

This UW2020 WARF Discovery Initiative grant is funded jointly by the Office of the Vice Chancellor for Research and Graduate Education and the UW Carbone Cancer Center.

Jul 26, 2016

Dr. Bourne Keynote Address to CPCP Retreat 2016

Mar 1, 2016

New BD2K training grant in Bio-Data Science


Problems in the generation, acquisition, management, analysis, visualization, and interpretation, of data, which have always been important players in biomedical science, now assume leading roles in the massive effort to understand health and disease. The unprecedented size, complexity, and heterogeneity of big biomedical data demands research that will allow us to more efficiently extract knowledge from data in order to make better predictions, to characterize biological systems, and generally to enable subsequent investigation. Modern biological, medical, and health studies often involve data sets from which useful, accurate information cannot be efficiently extracted with available methods. 

Research to improve the analysis of big biomedical data is active at the interface of computer sciences, statistics, and various biomedical disciplines, including genomics, molecular biology, neuroscience, cancer research, and population health.  The mission of the Bio-Data Science (BDS) training program is to provide predoctoral research training at this interface, preparing graduate students for key roles in academia, industry, or government. The BDS training program is supported by a T32 grant from the National Library of Medicine, and will be tightly integrated with the activities of the Center for Predictive Computational Phenotyping.

Dec 1, 2015

MIR Blue Sky Science: What is Machine Learning?

The Morgridge Institute for Research, a partner in CPCP, produces a weekly Q&A series that gives children and adults a forum to pose curiosity-driven, blue-sky questions about science. The public poses the questions and the Blue Sky Science team finds the relevant Madison scientists to answer the questions.  In this edition, CPCP Investigator Rob Nowak answers the question "What is machine learning?"


Oct 19, 2015

Big Privacy: Policy Meets Data Science

On October 15, 2015 CPCP held the first symposium in new annual series focusing on the intersection of policy and bioethics with biomedical research utilizing big data.  The half-day symposium examined the legal, policy, and technical issues arising where data privacy and data science meet. 

With the advent of high-throughput methods in biomedical research, the drive for precision medicine, and the advances in computing and mathematics that foster “big data science,” many commentators have expressed concern about how to promote biomedical science while respecting people’s privacy. The same big data techniques that promise revolutionary medical breakthroughs also make it easier to figure out whose data are being used in research and to learn sensitive information about those people.

As the only member of the NIH Big Data to Knowledge consortium including a bioethicist as a member of its investigator team, CPCP will host an annual symposium addressing current and emerging facets of the critical issue of privacy and make the proceedings available to the consortium via webcast and video.

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