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DTSTART;TZID=America/New_York:20231024T130000
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DTSTAMP:20260515T151341
CREATED:20230825T175528Z
LAST-MODIFIED:20231031T115135Z
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SUMMARY:AI in Medical Imaging: Current State & Future Opportunities
DESCRIPTION:Frontiers in Biostatistics Seminar \nTuesday October 24\, 2023 @ 1pm ET\nCenter for Life Sciences Building\, Room 11081 \nWilliam Lotter\, PhD\nAssistant Professor\, Dana-Farber Cancer Institute and Harvard Medical School \nYouTube Video \nWant to get our weekly events newsletter? Click here!
URL:https://ds.dfci.harvard.edu/event/frontiers-in-biostatistics-william-lotter/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2022/08/Bill_Lotter_headshot-scaled-e1659653586370.jpg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230926T100000
DTEND;TZID=America/New_York:20230926T110000
DTSTAMP:20260515T151341
CREATED:20230825T175051Z
LAST-MODIFIED:20231005T140106Z
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SUMMARY:Forecasting pancreatic carcinogenesis from spatial multi-omics
DESCRIPTION:Frontiers in Biostatistics Seminar \nTuesday September 26\, 2023 @ 10am ET\nCenter for Life Sciences Building\, Room 11081 \nElana Fertig\, PhD\nDivision Director of Oncology Quantitative Sciences\, Professor of Oncology\nJohns Hopkins University \nYouTube Video \nCombining genomics with mathematical modeling provides a forecast system that can yield computational predictions to anticipate cancer progression and therapeutic response. High-throughput profiling technologies can indicate the molecular and cellular pathways of malignancies\, but not the effect of targeting those pathways with therapy. Precision interception requires relating therapies to the cellular phenotypes underlying pancreatic carcinogenesis. This talk presents a hybrid computational and experimental strategy to uncover interactions between neoplastic cells and the microenvironment during pancreatic carcinogenesis. As pancreatic cancer develops\, it forms a complex microenvironment of multiple interacting cells. The microenvironment of advanced pancreatic cancer includes a heterogeneous and dense population of cells\, such as macrophages and fibroblasts\, that are associated with immunosuppression. New single-cell and spatial molecular profiling technologies enable unprecedented characterization of the cellular and molecular composition of the microenvironment. These technologies provide the potential to identify candidate therapeutics to intercept immunosuppression in pancreatic cancer. State-of-the-art mathematical approaches in computational biology are essential to uncover mechanistic insights for high-throughput data for these precision interception strategies. \n  \nWant to get our weekly events newsletter? Click here!
URL:https://ds.dfci.harvard.edu/event/forecasting-pancreatic-carcinogenesis-from-spatial-multi-omics/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2023/08/headshot-copy.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221101T130000
DTEND;TZID=America/New_York:20221101T140000
DTSTAMP:20260515T151341
CREATED:20221013T144710Z
LAST-MODIFIED:20221101T194024Z
UID:3821-1667307600-1667311200@ds.dfci.harvard.edu
SUMMARY:Design and Implementation of Bayesian Adaptive Phase I Trials in Oncology using the DEDUCE Application
DESCRIPTION:Frontiers in Biostatistics Seminar Series \nTuesday November 1\, 2022\n1:00PM Eastern Time \nRegister for in-person or virtual attendance. \nWendy London\, PhD\nAssociate Professor\, Harvard Medical School\nDirector of Biostatistics\, Boston Children’s Hospital \nClement Ma\, PhD Assistant Professor\, University of Toronto\nIndependent Scientist\, CAMH
URL:https://ds.dfci.harvard.edu/event/design-and-implementation-of-bayesian-adaptive-phase-i-trials-in-oncology-using-the-deduce-application/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2022/10/dual_photo.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200226T100000
DTEND;TZID=America/New_York:20200226T120000
DTSTAMP:20260515T151341
CREATED:20200429T162749Z
LAST-MODIFIED:20200511T121722Z
UID:651-1582711200-1582718400@ds.dfci.harvard.edu
SUMMARY:Introduction to single cell RNA-seq data analysis for statisticians
DESCRIPTION:Data Science Training Session\nKelly Street\, Research Fellow\nEtai Jacob\, Research Fellow \nIn this short course\, we will introduce some of the most widely used tools for single cell analysis. We will describe common experimental methods utilized in the community to generate single cell RNA-seq data and demonstrate modern pre-processing and analysis pipelines. In addition\, we will discuss potential problems which frequently show up in analysis and ways to deal with them. After our first meeting\, participants will be encouraged to practice some of the workflows we will share with them in order to discuss issues they encountered during the second meeting.
URL:https://ds.dfci.harvard.edu/event/introduction-to-single-cell-rna-seq-data-analysis-for-statisticians/2020-02-26/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200219T100000
DTEND;TZID=America/New_York:20200219T120000
DTSTAMP:20260515T151341
CREATED:20200429T161423Z
LAST-MODIFIED:20200511T121722Z
UID:644-1582106400-1582113600@ds.dfci.harvard.edu
SUMMARY:Alternatives to Hazard Ratio for Quantifying Treatment Effect on Time-to-Event Outcomes
DESCRIPTION:Data Science Training Session\nHajime Uno\nAssistant Professor\, Department of Data Science\nDana-Farber Cancer Institute
URL:https://ds.dfci.harvard.edu/event/alternatives-to-hazard-ratio-for-quantifying-treatment-effect-on-time-to-event-outcomes/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/uno_TS.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200207T160000
DTEND;TZID=America/New_York:20200207T170000
DTSTAMP:20260515T151341
CREATED:20200429T163321Z
LAST-MODIFIED:20200612T115603Z
UID:656-1581091200-1581094800@ds.dfci.harvard.edu
SUMMARY:The Clinical Impact of Genomics in the Pediatric Oncology
DESCRIPTION:DFCI Genomics Meetup\nKatherine Janeway\, MD\nPediatric Oncology\nDana-Farber Cancer Institute \nPizza is provided. \n 
URL:https://ds.dfci.harvard.edu/event/the-clinical-impact-of-genomics-in-the-pediatric-oncology/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Meetup
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/katherine-janeway-1.jpg
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200122T100000
DTEND;TZID=America/New_York:20200122T120000
DTSTAMP:20260515T151341
CREATED:20200429T131206Z
LAST-MODIFIED:20200511T121722Z
UID:632-1579687200-1579694400@ds.dfci.harvard.edu
SUMMARY:Collaborative Grant Writing and Statistical Methods for Grants
DESCRIPTION:Data Sciences Training Session\nRebecca Gelman\, PhD\nAssociate Professor\, Department of Data Sciences\nDana-Farber Cancer Institute
URL:https://ds.dfci.harvard.edu/event/collaborative-grant-writing-and-statistical-methods-for-grants/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/gelman_TS.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200121T130000
DTEND;TZID=America/New_York:20200121T140000
DTSTAMP:20260515T151341
CREATED:20200429T130831Z
LAST-MODIFIED:20200511T121722Z
UID:622-1579611600-1579615200@ds.dfci.harvard.edu
SUMMARY:NEJM Statistical Guidelines for Authors: Under the Hood
DESCRIPTION:Data Sciences Training Session\nDavid Harrington\, PhD\nProfessor\, Department of Data Sciences\nDana-Farber Cancer Institute
URL:https://ds.dfci.harvard.edu/event/david-harrington-presents-nejm-statistical-guidelines-for-authors/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/harrington_TS.png
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191204T050000
DTEND;TZID=America/New_York:20191204T070000
DTSTAMP:20260515T151341
CREATED:20200408T213229Z
LAST-MODIFIED:20200511T121722Z
UID:94-1575435600-1575442800@ds.dfci.harvard.edu
SUMMARY:Design of Phase III Studies
DESCRIPTION:Data Sciences Training Session\nDesign of Phase III Studies\, Part II \nRobert Gray\, PhD\nProfessor\, Department of Data Science\nDana-Farber Cancer Institute
URL:https://ds.dfci.harvard.edu/event/robert-gray-phd-leads-training-on-design-of-phase-iii-studies/
LOCATION:Center of Life Sciences\, Room 11081\, 3 Blackfan Circle\, Boston\, MA\, 02215\, United States
CATEGORIES:Training Session
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2020/04/robert-gray-event.png
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