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SUMMARY:Call for Abstracts: Health Disparities and Cancer
DESCRIPTION:We invite students\, postdocs\, residents\, clinical fellows\, and early career faculty to submit abstracts for consideration as a lightning talk at the 2024 Marvin Zelen Memorial Symposium. Submit via this form by Friday March 1st\, speakers will be notified by Friday March 8th. \n  \nFriday April 5\, 2024\n1:00-5:30PM ET \nYawkey Conference Center\n450 Brookline Ave\, Boston\, MA \nRegistration for in person and virtual attendance. \nInvited speakers: \n\nAdewole Adamson\, MD\, MPP\, Dell Medical School at the University of Texas at Austin\nCynthia Dwork\,PhD\, Harvard University\nNate Fillmore\,PhD\, VA Boston Healthcare System and Harvard Medical School\nCarmen E. Guerra\, MD\, MSCE\, University of Pennsylvania\nJinani Jayasekera\, PhD\, National Institute on Minority Health and Health Disparities\nBogdan Pasaniuc\,PhD\, University of California Los Angeles\n\n 
URL:https://ds.dfci.harvard.edu/event/call-for-abstracts-health-disparities-and-cancer/
CATEGORIES:Seminar
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SUMMARY:Frontiers in Biostatistics: A Framework for Personalizing the Timing of Surveillance Testing
DESCRIPTION:**This seminar has been canceled. A new date will be announced shortly**\nFrontiers in Biostatistics Seminar \nTuesday March 12\, 2024 @ 1pm ET \n  \nAasthaa Bansal\, PhD\nAssociate Professor\, The Comparative Health Outcomes\, Policy\, and Economics (CHOICE) Institute\, University of Washington\nJoint Associate Professor\, Public Health Sciences Division\nJoint Associate Professor\, Hutchinson Institute for Cancer Outcomes Research (HICOR)\nFred Hutch Cancer Center \nAbstract: Frequent surveillance testing using biomarkers is recommended and routinely conducted in several disease settings. Although surveillance tests provide information about current disease status and present an opportunity to detect disease progression early\, the complications and costs of frequent tests may not be justified for patients who are at low risk of progression. I will discuss our recently developed Personalized Risk-Adaptive Surveillance (PRAISE) framework\, a method for embedding dynamic predictions into a sequential decision-making framework to determine the time point at which the next collection of biomarker data would be most valuable. I will demonstrate a preliminary application of the framework in cystic fibrosis and ongoing work in colorectal cancer to develop more cost-effective and personalized surveillance strategies.
URL:https://ds.dfci.harvard.edu/event/frontiers-in-biostatistics-aasthaa-bansal/
CATEGORIES:Seminar
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