What's New: Past Month

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  1. CAFW110 Machine Learning Algorithms in Histology and Radiology for Cancer Drug Discovery and Development

    06 Dec 2019 | Contributor(s):: Partha Paul, Yuki Shimahara, Daisaku Takamiya

    Background: Lung cancer is one of the most common cancers in the world. It is a leading cause of cancer death in men and women in the United States. Computational approaches such as deep learning could help accurate and efficient analysis of biomarkers, both histopathology and radiology, to...

  2. CAFCW109 Semi-Supervised Method for Countering Batch Effect

    06 Dec 2019 | Contributor(s):: Stewart He

    Predictive modeling of patient tumor growth response to drug treatment is severely limited by a lack of experimental data for training. Combining experimental data from several studies is an attractive approach, but presents two problems: batch effects and limited data for individual drugs and...

  3. Cancer 101 plus an emphasis on Lung Cancer

    05 Dec 2019 | Contributor(s):: Molly Bernhard Richardson

    Several culturally tailored flyers were developed for cancer screening and prevention in African American populations in the Deep South. The populations are medically underserved, from rural or urban areas, and have low socioeconomic status. These flyers accompany additional materials as...

  4. CAFCW 104 Deep kernel Learning for Information Extraction from Cancer Pathology Reports

    05 Dec 2019 | Contributor(s):: Devanshu Agrawal, Abhishek Dubey, Georgia Tourassi, Jacob Hinkle

    Cancer pathology reports comprise a rich source of data for surveilling cancer incidents and tracking cancer trends across the United States. Cancer registries manually extract key pieces of information from these reports including tumor site, histology, laterality, behavior, grade, and...

  5. Keynote Presentation: Computing and Data in Precision Oncology

    05 Dec 2019 | Contributor(s):: Warren Kibbe

    Computing and Data in Precision OncologyWarren A Kibbe, Ph. D.Professor, Biostats & BioinformaticsChief Data Officer, Duke Cancer Institutewarren.kibbe@duke.edu@supercomputing#sc19#CAFCW19#ComputationalPhenomics#PrecisionOncology

  6. Global Harmonization of Nanoinformatics: A Case Study in Convergence and Team Science

    27 Nov 2019 | Contributor(s):: Frederick C. Klaessig, Christine Ogilvie Hendren

    Nano WG November 14, 2019National Nanotechnology Coordination Office (NNCO) sponsored Nanoinformatics presentation followed by discussion on Nanomaterial safety data integration with eNanoMapper database and eNanoMapper Ontology...