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X-WR-CALDESC:Events for Stanford - Department of Biomedical Data Science
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DTSTART;VALUE=DATE:20240307
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SUMMARY:The Biomedical Data Science PhD admissions interviews
DESCRIPTION:The Biomedical Data Science PhD admissions interviews will be in-person on March 7-8\, 2024.
URL:https://dbds.stanford.edu/event/the-biomedical-data-science-phd-admissions-interviews/
LOCATION:CA
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240308
DTEND;VALUE=DATE:20240309
DTSTAMP:20231108T200205Z
CREATED:20231108T200130Z
LAST-MODIFIED:20231108T200205Z
UID:9991-1709856000-1709942399@dbds.stanford.edu
SUMMARY:Women in Data Science Conference at Stanford
DESCRIPTION:Be in the Room\nEarly bird registration is now open for our annual conference at Stanford University. Join us in-person for this International Women’s Day tradition\, which will be held on campus. Register before Dec 15 for a BIG discount. Email us if you’d like to become a sponsor. \nhttps://www.eventbrite.com/e/women-in-data-science-wids-stanford-conference-2024-tickets-641480183497?aff=WiDSWorldwideNewsletters&mc_cid=06d111be5c&mc_eid=43175f7ae8
URL:https://dbds.stanford.edu/event/wiomen-in-data-science-conference-at-stanford/
LOCATION:CA
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SUMMARY:CCBS Seminar Series
DESCRIPTION:Third Friday of the month with two exceptions: no seminar in August and in December the seminar will take place on the 13th\nRegular Time (Feb-Dec):  11:00 AM – 12:00 PM\nLocation:  Clark Center\, S360 (behind the coffee shop)
URL:https://dbds.stanford.edu/event/ccbs-seminar-series-2/
LOCATION:Clark Center S360
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DTSTART;TZID=America/Los_Angeles:20240315T110000
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DTSTAMP:20240228T004728Z
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UID:10865-1710500400-1710504000@dbds.stanford.edu
SUMMARY:Stanford CCSB Seminar Series: Gina Bouchard
DESCRIPTION:Please join us at our next monthly CCSB Seminar\, Friday\, March 15\, from 11 AM to 12 PM.  Clark Center\, Room S360\, or Zoom link. \nOur Seminar Series in systems biology of cancer aims to bring together experimental and computational researchers. \nSpeaker: Dr. Gina Bouchard\, Instructor in the Department of Biomedical Data Science \nTitle:   Spatial biology of tumor-stroma assembloids reveals that “Nothing is lost\, nothing is created\, everything is reorganized.” \nAbstract: \nSpatial -omics technologies must be codeveloped with quantitative methods for comparing in vitro patient-derived models with histological specimens. We propose a quantitative approach to assess the extent of resemblance between patient-derived tumor models and human tumors’ cytoarchitecture. We introduce the “colocatome” as a spatial -omic cataloging statistically significant colocalizations between cell subpopulations or states\, allowing for normalization and facilitating direct comparisons of spatial features between in vitro models and tissues. Our study involves colocatome analysis on multiplexed immunofluorescence images of human lung adenocarcinoma (LUAD) tumor-stroma assembloids constructed with epithelial organoids and Cancer-Associated Fibroblasts (CAFs) from the tumor edge vs core. We confirm that assembloids recapitulate LUAD’s tumor-stroma cytoarchitecture\, affirming the relevance of patient-derived in vitro models for studying human tumors. Following drug perturbation of assembloids\, we demonstrate that CAFs protect cancer cells from targeted oncogene treatment by uniquely reorganizing cytoarchitecture\, rather than promoting cellular heterogeneity or selection. We identify drug-resistant cytoarchitecture patterns from assembloids\, consistent with the more aggressive histologic growth patterns of treatment-naive LUAD samples. Overall\, our colocatome analysis applied to in vitro patient-derived tumor models and transferred findings to cancer specimens can serve as a functional spatial readout to predict tissue reorganization in response to cancer treatment and is generalizable to other conditions. \nBio:\nDr. Bouchard received her bachelor’s degree in pharmacology and her doctorate in Radiation Science and Biomedical Imaging in the laboratory of Dr. Benoit Paquette at the University of Sherbrooke\, Canada. During her thesis\, Dr. Bouchard studied the effects of radiation on breast cancer cell migration and invasiveness. Dr. Bouchard received a postdoctoral fellowship from Stanford University to join the Cancer Systems Biology program with the primary goal of training cancer biologists for bioinformatics\, and vice versa. During her postdoctoral research in Dr. Sylvia Plevritis’ laboratory\, Dr. Bouchard investigated the intercommunication between cancer cells and fibroblasts from various sites of lung adenocarcinomas using a multi-omics approach. Dr. Bouchard is currently continuing her research as an Instructor in the Department of Biomedical Data Science at Stanford. Here\, she utilizes 3D patient-derived assembloids to examine metabolic reprogramming in the stroma\, employing a spatial biology approach. The primary objective is to identify spatial features associated with metabolic resistance and to optimize radiotherapy in cancer patients. \nWhen:  Friday\, March 15\, 11 AM – 12 PM \nLocation:  James H. Clark Center\, Room S360\, 3rd floor next to the Coffee Shop \nOr Online:  Zoom link \nPlease contact Corinne Beck if you have any questions and feel free to subscribe to our mailing list to receive our announcements and updates . \n 
URL:https://dbds.stanford.edu/event/stanford-ccsb-seminar-series-gina-bouchard/
LOCATION:CA
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