Early Detection Research Network

Workshop Details 🔬

The Jet Propulsion Laboratory, California Institute of Technology will host the Cancer Biomarkers Data Science Workshop at the California Institute of Technology, Pasadena, California.

⚠️ Notice: The workshop has been postponed.

Registration will open May 1, 2020. For more information, please contact us.

The opportunities and challenges of data-driven computing is enabling a major shift for scientific research. The National Research Council, in its report, “Frontiers in the Analysis of Massive Data” (2013), identified many of the challenges in scientific analysis for data-driven disciplines such as are occurring in cancer biomarker research. Two of the National Cancer Institute’s major research programs, the Early Detection Research Network (EDRN) and the Molecular and Cellular Characterization of Screen-Detected Lesions (MCL), have been active in planning, researching and developing capabilities to support data intensive science for cancer biomarker research by developing a data ecosystem to systematically capture, process, manage, share, and analyze data acquired during cancer biomarker research through an advanced knowledge system. In 2013, the EDRN held a workshop to plan future informatics needs for cancer biomarker research identifying several important recommendations that emphasize the importance of developing a scalable and systematic approach for addressing challenges in reproducibility of scientific data analysis. As the data across such areas as proteomics, genomics, and imaging increase, the need to systematically capture, manage and analyze data through an advanced knowledge system is continuing to increase. Furthermore, the use of automated data processing, intelligent algorithms for data reduction, inference and analysis, and consistent data pipelines from laboratory data management and analysis through to analysis across distributed, collaborative research teams, is requiring that the data ecosystem ensure that systematic capabilities are in place to support the reproducibility challenges presented in biomedical research.

The workshop will discuss the data science and informatics progress and needs for cancer biomarker discovery and validation from data management and artificial intelligence to advanced knowledge systems to drive new paradigms for national and international collaborations in data analysis. We anticipate a multi-disciplinary group of researchers spanning biomedical research, data science, and informatics. “Bench” researchers will provide case studies that reflect their data science and informatics needs. Data science researchers and practitioners will introduce architectures, methods, systems, tools and data resources that are evolving in cancer biomarkers and data science to support next generation paradigms for advanced computing, analysis and research. Community dialogue will be encouraged during discussion-panel sessions. A lively poster session will encourage participation of multiple researchers.

Through its collaboration with NASA/JPL and Caltech, the National Cancer Institute has been working to research, develop and deploy data science and informatics capabilities for cancer biomarker research. Integrating informatics into science research is going to continue to be critical as these programs move forward and continue to pioneer a next generation infrastructure for discovery and validation of cancer biomarkers.

This two-day workshop will highlight data science and informatics resources, needs, and challenges for cancer biomarker research with a specific emphasis on the identification of future priorities and plans, and how emerging capabilities can be harnessed to advance the state-of-research.

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