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Frontiers in Biostatistics: Early Phase Design Considerations for Oncology Drug Development in the Era of Immunotherapy and Targeted Agents

Tuesday, February 8, 2022 1:00pm Eastern Time YouTube Video Elizabeth Garrett-Mayer, PhD, FSCT Vice President Center for Research and Analytics (CENTRA) Dr. Garrett-Mayer joined ASCO in 2017 as CENTRA’s Division Director for Biostatistics and Research Data Governance and became CENTRA’s first Vice President in 2022. CENTRA leads ASCO’s research efforts, including the TAPUR Study, ASCO’s […]

Data Science Seminar: End-to-end AI for Screening Mammography

Tuesday February 15, 2022 1:00PM Eastern Time William Lotter, PhD Vice President of Machine Learning, RadNet, Inc. Chief Technology Officer & Co-Founder, DeepHealth, Inc. Register. Screening mammography has been estimated to reduce breast cancer mortality by 20-40%, but significant opportunities remain for improving access and overall quality. Artificial intelligence (AI) has the potential to deliver […]

Data Science Seminar: Spatial meshing for general Bayesian multivariate models

Thursday February 24, 2022 1:00PM Eastern Time Michele Peruzzi, PhD Postdoctoral Associate, Department of Statistical Science, Duke University Register. Abstract: In this talk, I will consider the problem of fitting Bayesian models with spatial random effects to large scale multivariate multi-type data from satellite imaging, land-based weather and air quality sensors, and citizen science, with […]

Data Science Seminar: From descriptive to predictive biology via single-cell multiomics

Monday February 28, 2022 1:00PM Eastern Time Genevieve Stein-O'Brien Instructor, Johns Hopkins University, School of Medicine Department of Oncology, Division of Biostatistics and Bioinformatics; Department of Neuroscience; and McKusick-Nathans Department of Genomic Medicine Assistant Director, Johns Hopkins University Single Cell Consortium Register. Abstract: As the single-cell field races to characterize each cell type, state, and […]

Frontiers in Biostatistics: Considerations for Extracting Real-World Evidence from Real-World Data

Tuesday, March 1, 2022 1:00pm Eastern Time Rebecca A. Hubbard, PhD Professor of Biostatistics University of Pennsylvania Perlman School of Medicine YouTube Video Abstract: Opportunities to use real-world data (RWD), including electronic health records (EHR) and medical claims data, have exploded over the past decade. The Covid-19 pandemic has provided a particularly dramatic illustration of […]

Data Science Seminar: Radiomics for Feature Extraction from Radiological Images

Friday, March 4, 2022 12:00PM Eastern Time Ani Eloyan, PhD Assistant Professor Department of Biostatistics, Brown University Register. Abstract: Cancer patients routinely undergo radiological evaluations where images of various modalities including computed tomography, positron emission tomography, and magnetic resonance images are collected for diagnosis and for evaluation of disease progression. Tumor characteristics, often referred to […]

Ava_Soleimany

Data Science Seminar: Engineering Protease Activity Sensors For Personalized Detection and Profiling of Cancer

Monday March 7th, 2022 1:00PM Eastern Time Ava Soleimany, PhD Senior Researcher, Biomedical Machine Learning Group at Microsoft Research, New England Abstract: Precision cancer medicine envisions a world where diagnostic and therapeutic opportunities are intelligently tailored to individual patient needs. Achieving this vision necessitates access to high quality, accurate, and individualized information about disease state. […]

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2022 Marvin Zelen Symposum: Data Visualization

The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many industries, academia, and government. News organizations are increasingly embracing data journalism and including effective infographics as part of their reporting, while in research we increasingly rely on data visualization to assess data quality and describe and […]

Frontiers in Biostatistics: Tree-based Ensembling Strategies for Handling Heterogeneous Data

Maya Ramchandran Data Scientist, ZephyrAI Abstract: Adapting machine learning algorithms to better handle clustering or other partition structure within training data sets is important across a wide variety of biological applications. We first consider the task of learning prediction models when multiple training studies are available. We present a novel weighting approach  for constructing tree-based ensemble […]

Data Science Seminar: Identification of Novel Oncogenic and Neurodevelopmental Programs Using Bulk and Single-cell Sequencing Approaches

Jeremy M. Simon, Ph.D. (he/him/his) Associate Professor, Department of Genetics Co-Principal, Bioinformatics and Analytics Research Collaborative (BARC) Director, UNC Neuroscience Center Bioinformatics Core Carolina Institute for Developmental Disabilities University of North Carolina at Chapel Hill Register for Zoom Webinar. Establishing and maintaining proper transcriptional programs is central to both development and disease, and involves the […]

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Training Session: Biomarkers in Cancer Research

Wednesday June 15, 2022 10:00-12:00pm Eastern Time Nabihah Tayob, PhD Assistant Professor Department of Data Science, Dana-Farber Cancer Institute Harvard Medical School Zoom registration: https://bit.ly/TSJune22  

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BioC 2022 registration is now open!

BioC2022 will be held as a hybrid event in Seattle, WA on July 27-29, 2022. Virtual registration is now open. Tickets for in-person attendance are now on a waitlist. Click here to add your name to the list. Additional tickets may become available if restrictions are lifted. We will email the waitlist at the end […]