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X-WR-CALDESC:Events for Stanford - Department of Biomedical Data Science
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DTSTART;TZID=America/Los_Angeles:20240419T100000
DTEND;TZID=America/Los_Angeles:20240419T230000
DTSTAMP:20260429T132942
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UID:10505-1713520800-1713567600@dbds.stanford.edu
SUMMARY:CCSB Seminar Series
DESCRIPTION:Third Friday of the month\nRegular Time (Feb-Dec):  11:00 AM – 12:00 PM\nLocation: Clark Center\, S360 (behind the coffee shop)
URL:https://dbds.stanford.edu/event/ccsb-seminar-series-2/
LOCATION:Clark Center S360
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240315T110000
DTEND;TZID=America/Los_Angeles:20240315T120000
DTSTAMP:20260429T132942
CREATED:20240227T212048Z
LAST-MODIFIED:20240228T004728Z
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/
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2024/02/CCSB-Seminar-Series-March-15-2024.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240315T110000
DTEND;TZID=America/Los_Angeles:20240315T120000
DTSTAMP:20260429T132942
CREATED:20240117T192333Z
LAST-MODIFIED:20240117T192333Z
UID:10500-1710500400-1710504000@dbds.stanford.edu
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
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240308
DTEND;VALUE=DATE:20240309
DTSTAMP:20260429T132942
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/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240307
DTEND;VALUE=DATE:20240309
DTSTAMP:20260429T132942
CREATED:20240117T191515Z
LAST-MODIFIED:20240117T191515Z
UID:10495-1709769600-1709942399@dbds.stanford.edu
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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240229T163000
DTEND;TZID=America/Los_Angeles:20240229T173000
DTSTAMP:20260429T132942
CREATED:20240207T004153Z
LAST-MODIFIED:20240207T004153Z
UID:10758-1709224200-1709227800@dbds.stanford.edu
SUMMARY:Black History Month Happy Hour and Laurel Stell Celebration
DESCRIPTION:Black History Month Happy Hour and Laurel Stell Celebration\nCongratulations to Laurel Stell!!! \nStanford School of Medicine HRG JEDI selected our Laurel Stell in 2024 Cohort for BetterUp Coaching Program. They want every member of staff to feel like they can learn and grow\, make an impact\, and feel connected in their current role and  is investing in staff\, specifically\, those wearing a DEI practitioner/volunteer hat\, to recognize them for and enable their work\, invest in their personal and professional growth\, and increase resilience and retention. \nResearch identifies coaching as having a high impact on building leadership and professional skills\, wellness\, and resilience. Our BetterUp coaching program is specifically designed for School of Medicine Staff invested in JEDI\, including as a practitioner\, and aligns to the Stanford Medicine Commission on Justice and Equity recommendations. \nThis program runs annually from late January – September\, with 6 months of coaching access. \n\n2/29 from 4:30-5:30pm – MSOB lounge
URL:https://dbds.stanford.edu/event/black-history-month-happy-hour-and-laurel-stell-celebration/
LOCATION:MSOB lounge
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240216T130000
DTEND;TZID=America/Los_Angeles:20240216T140000
DTSTAMP:20260429T132942
CREATED:20240117T192125Z
LAST-MODIFIED:20240126T231837Z
UID:10498-1708088400-1708092000@dbds.stanford.edu
SUMMARY:CCBS Seminar Series: Roles of systemic immunity in tumor metastasis and effective immunotherapy\, Nathan Reticker-Flynn
DESCRIPTION:Please join us at our next monthly CCSB Seminar\, Friday\, February 16\, at 1:00 PM.  Our Seminar Series in systems biology of cancer aims to bring together experimental and computational researchers. \nWe are pleased to announce our upcoming speaker\, Assistant Professor Nathan Reticker-Flynn. \nTitle:  Roles of systemic immunity in tumor metastasis and effective immunotherapy \nAbstract: The majority of cancer-associated deaths result from distant organ metastases rather than primary tumors\, yet few therapies exist to treat this stage of disease. Recent advances in tumor immunotherapies\, such as immune checkpoint blockade\, have shown promise for patients with metastatic disease\, yet most patients remain unresponsive to these treatments. Here\, we investigate the roles of systemic immunity in metastatic progression and response to immunotherapies. We demonstrate that lymph node colonization plays a critical role in metastatic progression by imparting tumor-specific immune tolerance within the immune repertoire of the involved lymph nodes. This tolerance becomes systemic across the host and facilitates metastatic seeding of distant sites. Furthermore\, using mouse models and systems approaches\, we demonstrate that the generation of effective anti-tumor immune responses to immunotherapies requires activation of immunity in secondary lymphoid organs. Together\, these findings demonstrate the critical roles of lymph nodes in facilitating metastatic progression and driving responses to immunotherapy. \nBio: Nathan Reticker-Flynn is a tumor immunologist and Biomedical Engineer working at the interfaces of cancer metastasis\, tumor evolution\, adaptive immunity\, and immunotherapy. He received his PhD from the Massachusetts Institute of Technology while working with Dr. Sangeeta Bhatia as part of the Harvard-MIT Division of Health Sciences and Technology. His doctoral studies focused upon developing screening platforms for interrogating interactions between tumors and extracellular matrix during metastatic progression and led to the discovery of aberrant glycosylation motifs that promote metastasis. Dr. Reticker-Flynn performed his postdoctoral studies in the laboratory of Dr. Edgar Engleman at Stanford University School of Medicine. There\, his work has focused on using systems approaches and mouse models to investigate tumor-immune interactions during metastasis and responses to immunotherapies. His discoveries include the revelation that effective immunotherapies require systemic activation of anti-tumor immunity and that lymph node metastases serve to reeducate adaptive immune responses in a manner that promotes distant metastasis. Dr. Reticker-Flynn is currently an Assistant Professor at Stanford University in the Department of Otolaryngology and a member of the Stanford Cancer Institute. His lab uses systems approaches\, combining patient samples and mouse models\, to elucidate the mechanisms of tumor-immune tolerance during metastatic progression and develops novel immunotherapies that reverse tumor-specific tolerance to treat patients with metastatic disease. \nWhen:  Friday\, February 16\, from 1:00-2:00pm \nLocation:  James H. Clark Center\, Room S360\, 3rd floor next to the Coffee Shop \nOr Online:  Zoom link \nSubsequent seminars will continue to take place on the 3rd Friday of each month from 11:00am to 12:00pm (please note the time change)\, same room and Zoom link. \nPlease contact Corinne Beck if you have any questions and please feel free to forward this announcement and flyer as you see fit.
URL:https://dbds.stanford.edu/event/ccbs-seminar-series/
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2024/01/istockphoto-1138655278-170667a.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240205T150000
DTEND;TZID=America/Los_Angeles:20240205T160000
DTSTAMP:20260429T132942
CREATED:20240126T220150Z
LAST-MODIFIED:20240126T220150Z
UID:10604-1707145200-1707148800@dbds.stanford.edu
SUMMARY:SEMINAR: Predicting and Discovering Protein Dynamics
DESCRIPTION:HANNAH WAYMENT-STEELE\, PhD\, BRANDEIS UNIVERSITY \nMonday\, February 5\, 2024 \n3-4 PM \nChEM-H / Neuro Research \nComplex\, Room E153 \nEntrance across from the pub
URL:https://dbds.stanford.edu/event/seminar-predicting-and-discovering-protein-dynamics/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240201T133000
DTEND;TZID=America/Los_Angeles:20240201T145000
DTSTAMP:20260429T132942
CREATED:20240126T221110Z
LAST-MODIFIED:20240126T221110Z
UID:10606-1706794200-1706799000@dbds.stanford.edu
SUMMARY:Weekly Seminar: Drago Plecko
DESCRIPTION:Thursday\, February 1\, from 1:30-2:50\, MSOB\, Rm 303 \n\n\n\n\nCausal Health Equity – Toward a Taxonomy \nDrago Plecko \nPostdoctoral Scholar\, Department of Computer Science\, Columbia University \n\nMore information here: http://dbds.stanford.edu/wp-content/uploads/2024/01/Seminar-Series-Flier-Drago-Plecko.pdf
URL:https://dbds.stanford.edu/event/weekly-seminar-drago-plecko/
LOCATION:MSOB Conference Room
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2024/01/drago-oberwolfach-square-e1706307278564.jpeg
ORGANIZER;CN="Natalie La Mariana":MAILTO:nlamaria@stanford.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240131T113000
DTEND;TZID=America/Los_Angeles:20240131T130000
DTSTAMP:20260429T132942
CREATED:20231128T212927Z
LAST-MODIFIED:20231130T164204Z
UID:10196-1706700600-1706706000@dbds.stanford.edu
SUMMARY:Faculty Meeting: January 31\, 2024
DESCRIPTION:Lunch will be available. \nZoom link: https://stanford.zoom.us/j/97249583050?pwd=S20vUFFTOEppazZpbGFiVktCZ3lYQT09&from=addon#success
URL:https://dbds.stanford.edu/event/faculty-meeting-january-31-1130-1pm/
LOCATION:MSOB Conference Room
ORGANIZER;CN="Bisera More":MAILTO:bmore@stanford.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240125T133000
DTEND;TZID=America/Los_Angeles:20240125T150000
DTSTAMP:20260429T132942
CREATED:20240119T195102Z
LAST-MODIFIED:20240119T195122Z
UID:10565-1706189400-1706194800@dbds.stanford.edu
SUMMARY:Weekly Seminar: Daniel Mukasa
DESCRIPTION:Date: 1/25/24\nTime: 1:30-3 pm\nDaniel Mukasa\nTitle:Computationally Design of Wearable Chemical Sensors for Personalized Healthcare\nMore info here
URL:https://dbds.stanford.edu/event/weekly-seminar-daniel-mukasa/
LOCATION:MSOB Conference Room
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2024/01/Unknown-23.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240123T083000
DTEND;TZID=America/Los_Angeles:20240123T133000
DTSTAMP:20260429T132942
CREATED:20231107T213920Z
LAST-MODIFIED:20231107T213920Z
UID:9987-1705998600-1706016600@dbds.stanford.edu
SUMMARY:DBDS Collaboration and Careers Forum
DESCRIPTION:We’d like to invite you to the annual DBDS Collaboration and Careers Forum: \nTuesday\, January 23rd from 8:30am to 1:30pm\nStanford University\, Alumni Center  \nThis Forum is designed to engage leaders from companies\, government agencies and other organizations external to Stanford with DBDS faculty\, graduate students\, postdocs and staff scientists.  It offers a unique opportunity to discuss advancements in AI\, data science and multimodal data integration\, and to explore collaboration. \nThe program will include: \n\nOverview of DBDS Initiatives and 2024 Plans\, from Department Chair\, Sylvia Plevritis\nFaculty lightning talks in areas such as spatial biology\, clinical data science\, imaging\, digital health\, and translational bioinformatics\nInteractive Session to explore research collaborations with outside organizations\, and for students to discuss job and internship opportunities\nIndustry panel discussion\nTime for networking and making new connections\n\nMore information will be coming soon.  We hope to see you there!
URL:https://dbds.stanford.edu/event/dbds-collaboration-and-careers-forum/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240122T080000
DTEND;TZID=America/Los_Angeles:20240122T220000
DTSTAMP:20260429T132942
CREATED:20240110T165951Z
LAST-MODIFIED:20240110T165951Z
UID:10444-1705910400-1705960800@dbds.stanford.edu
SUMMARY:James Zou at the DeSci Foundation: Large language models and future of science.
DESCRIPTION:James Zou will be presenting at the DeSci Foundation The Future of Science Seminar Series on the topic of Large language models and future of science. \nThe event will be held on Wednesday 22th January 2024 at 8am PST and is free to attend. A recording will be made available to those who register in advance. \nAbstract\nIn this talk\, we will explore the transformative potential of large language models (LLMs) such as ChatGPT in reshaping scientific inquiry and communication through several vignettes. First\, we will discuss how LLM can provide informative feedback to improve scientific manuscripts. Then we will show how to use LLMs to organize biomedical images to make it easier for clinicians and researchers to retrieve relevant information. Finally we will investigate using LLMs for outreach and education. \n\nFor more information: https://cassyni.com/events/4fJ1CwqCNeC73oLJQsG7yX
URL:https://dbds.stanford.edu/event/james-zou-at-the-desci-foundation-large-language-models-and-future-of-science/
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2024/01/photocache.84123.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240119T100000
DTEND;TZID=America/Los_Angeles:20240119T110000
DTSTAMP:20260429T132942
CREATED:20240108T195611Z
LAST-MODIFIED:20240118T161817Z
UID:10418-1705658400-1705662000@dbds.stanford.edu
SUMMARY:CCSB Seminar Series
DESCRIPTION:Seminar Series: \n\n\n\nThird Friday of the month with two exceptions: no seminar in August and in December the seminar will take place on the 13th\nFirst seminar\n10:00-  11:00 AM\nLocation:  Clark Center\, S360 (behind the coffee shop)
URL:https://dbds.stanford.edu/event/ccsb-seminar-series/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240118T080000
DTEND;TZID=America/Los_Angeles:20240118T170000
DTSTAMP:20260429T132942
CREATED:20240118T211058Z
LAST-MODIFIED:20240118T211058Z
UID:10549-1705564800-1705597200@dbds.stanford.edu
SUMMARY:Weekly Seminar: 1/18
DESCRIPTION:Date: 1/18/24\nAdit Radhakrishnan\nTitle: How do neural networks learn features from data?\n1:30-3:00 pm in MSOB x303\nMore info here. 
URL:https://dbds.stanford.edu/event/weekly-seminar-1-18/
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2024/01/1551028048809.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231208T100000
DTEND;TZID=America/Los_Angeles:20231208T120000
DTSTAMP:20260429T132942
CREATED:20231201T192746Z
LAST-MODIFIED:20231201T194326Z
UID:10270-1702029600-1702036800@dbds.stanford.edu
SUMMARY:Alex Derry's Dissertation Defense
DESCRIPTION:The Department of Biomedical Data Science invites you to a Dissertation Defense \nAlex Derry \nFriday\, December 8th\, 2023 \n10:00 am PST \nLocation: Y2E2 111 \nDeep learning on local sites for protein structure and function analysis \nUnderstanding how the three-dimensional structure of a protein leads to its function is important for determining disease mechanisms\, developing targeted therapeutics\, and engineering new proteins with desired functional characteristics. The expansion of protein structure databases due to experimental and computational advances provides an unprecedented opportunity to learn structure-function relationships in a data-driven manner. Deep learning methods that operate on protein structures have shown promise for specific tasks\, but their utility for functional analysis has been limited due to inconsistencies in model training and evaluation\, lack of labeled proteinfunction data\, and an inability to reconcile global predictions with local biochemical mechanisms. In this dissertation\, I explore these challenges and propose a framework for protein analysis based on learning on local sites rather than the entire protein structure. First\, to establish standards for model development and evaluation\, I present work on (1) developing a suite of benchmark datasets\, processing tools\, and baseline models\, and (2) quantifying the effect of differing structure compositions in the training data. I then describe a self-supervised learning method that leverages evolutionary relationships to learn general-purpose representations of local structural sites and show how these representations enable improved performance on downstream tasks involving classification\, search\, and annotation of functional sites. By clustering millions of sites\, I propose a framework for protein analysis based on conserved structural motifs which enables the discovery of functional relationships across protein classes. Finally\, I present a method for explainable function annotation that predicts the overall function of a protein as well as the individual residues which are responsible. \nZoom: https://stanford.zoom.us/j/95316385692 \n(PW: 271506)
URL:https://dbds.stanford.edu/event/alex-derrys-dissertation-defense/
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2023/06/Alex-Derry-.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231207T170000
DTEND;TZID=America/Los_Angeles:20231207T200000
DTSTAMP:20260429T132942
CREATED:20231107T191815Z
LAST-MODIFIED:20231203T180620Z
UID:9984-1701968400-1701979200@dbds.stanford.edu
SUMMARY:DBDS Holiday Extravaganza
DESCRIPTION:December 7\, 2023; Stanford Faculty Club \nMore info to come! \n 
URL:https://dbds.stanford.edu/event/dbds-holiday-extravaganza/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231206T113000
DTEND;TZID=America/Los_Angeles:20231206T130000
DTSTAMP:20260429T132942
CREATED:20231116T000323Z
LAST-MODIFIED:20231130T164539Z
UID:10153-1701862200-1701867600@dbds.stanford.edu
SUMMARY:Faculty Meeting: (November + December) December 6\, 2023
DESCRIPTION:Lunch will be provided. \nZoom link: https://stanford.zoom.us/j/97249583050?pwd=S20vUFFTOEppazZpbGFiVktCZ3lYQT09&from=addon#success
URL:https://dbds.stanford.edu/event/dbds-faculty-meeting-novemberdecember-2023-12-6-23/
LOCATION:MSOB Conference Room
ORGANIZER;CN="Bisera More":MAILTO:bmore@stanford.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231108T140000
DTEND;TZID=America/Los_Angeles:20231108T150000
DTSTAMP:20260429T132942
CREATED:20231106T223446Z
LAST-MODIFIED:20231108T195206Z
UID:9972-1699452000-1699455600@dbds.stanford.edu
SUMMARY:Kevin Wu:  Medical AI After Deployment: Data-driven analyses and methods for clinically viable AI
DESCRIPTION:Wednesday\, November 8th\, 2023 \n2:00 pm – 3:00 pm PST  \nCCSR 0235 \nZoom Link: https://stanford.zoom.us/j/95984592133?pwd=MDRXcyt4eTlCVlZhdHZYZ0prLzBGZz09 \nTitle: Medical AI After Deployment: Data-driven analyses and methods for clinically viable AI \nAbstract: Medical AI algorithms have undergone significant development and regulatory approval\, with over 600 FDA-approved medical AI devices currently. However\, their actual clinical safety and impact remain unclear. First\, we analyze FDA submission documents and find that the majority of FDA approvals do not report multi-site evaluation\, and nearly none have prospective analyses. Second\, we track the occurrences of newly released AI billing codes in a nationwide insurance claims database and find that only a handful of products have meaningful clinical adoption. Finally\, we systematically track device updating in FDA submissions and find that the majority of devices have not had updates to model weights since initial approval. Given these limitations\, we propose several methods to address common issues with algorithmic deployment. First\, we present a framework for understanding the marginal contribution of distribution shifts to overall model degradation. Second\, we present a method for efficient missing data collection in the context of fixed models. Finally\, we present ways to improve the robustness of evaluating medical LLMs.
URL:https://dbds.stanford.edu/event/kevin-wu-title-medical-ai-after-deployment-data-driven-analyses-and-methods-for-clinically-viable-ai/
LOCATION:CCSR 0235
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231108T120000
DTEND;TZID=America/Los_Angeles:20231108T130000
DTSTAMP:20260429T132942
CREATED:20231107T191644Z
LAST-MODIFIED:20231107T191644Z
UID:9982-1699444800-1699448400@dbds.stanford.edu
SUMMARY:Faculty Development Committee Meeting
DESCRIPTION:Wednesday\, November 8\, 2023 from 12:00 PM to 1:00 PM \nhttps://stanford.zoom.us/j/98257342544?pwd=VWNJa0l0S05YTGZSbkxtaUozVkNyUT09&from=addon \nAttendees: Olivier Gevaert; Theresa McCann-Packer; Iain M Johnstone; Manisha Desai; Teri Klein; James Zou; Julia Adela Palacios; Lu Tian; Ni Deng; Daniel Rubin
URL:https://dbds.stanford.edu/event/faculty-development-committee-meeting/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231025T150000
DTEND;TZID=America/Los_Angeles:20231025T150000
DTSTAMP:20260429T132942
CREATED:20231016T203948Z
LAST-MODIFIED:20231016T210417Z
UID:9668-1698246000-1698246000@dbds.stanford.edu
SUMMARY:Workshop on GenAI in Healthcare: Red Teaming
DESCRIPTION:Please join us for an interaction session to test GenAI models for potential issues with biases\, inaccuracies\, and other matters related to healthcare.   Red-teaming is a form of evaluation that elicits model vulnerabilities that might lead to undesirable behaviors. We will be looking for such behaviors on healthcare-related tasks. \nAll faculty\, graduate students and postdocs are welcome.  We will break into groups with table leaders from Stanford Healthcare\, School of Medicine\, CS and external partners providing technical and clinical insights. At the end we’ll have a read-out of findings\, and then continue the conversations during happy hour. \nREGISTER HERE \nDate: October 25th\nLocation: Chem-H Building Room E241\nAgenda:\n3:00pm | Check in begins\n3:15pm | Table groups begin Red Teaming\n4:45pm | Happy hour\n6:00pm | Event concludes\nIf you have questions\, please contact Roxana Daneshjou or Karen Matthys. Faculty\, if you’re interested in leading a table group please let us know.
URL:https://dbds.stanford.edu/event/workshop-on-genai-in-healthcare-red-teaming/
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230915T080000
DTEND;TZID=America/Los_Angeles:20230915T170000
DTSTAMP:20260429T132942
CREATED:20230915T210906Z
LAST-MODIFIED:20230915T212500Z
UID:9267-1694764800-1694797200@dbds.stanford.edu
SUMMARY:DBDS Retreat September 18-20 Asilomar Conference Center
DESCRIPTION:BMI 2023 Retreat Agenda\nSeptember 18-20\, 2023 | Asilomar Conference Center | Pacific Grove\, CA \nMonday\, September 18                                                                                  \n\n\n\nTime\nActivity\nWhere\n\n\n3:30-5:00 PM\nCheck In and Welcome Reception\nThe Meadows/BBQ Area\n\n\n5:00-5:45 PM\nGroup Photo & Headshots\nBack steps of Hearst Social Hall\n\n\n6:00-7:00 PM\nDinner\nSeascape Room\n\n\n7:00-7:45 PM\nState of the Department\nSeascape Room\n\n\n7:45-8:45 PM\nAlumni Fireside Chat\nWith Serge Saxonov and Iwei Yeh\nSeascape Room\n\n\n8:45-11:00 PM\nBonfire\nThe Meadows/BBQ Area\n\n\n\nTuesday\, September 19 \n\n\n\nTime\nActivity\nWhere\n\n\n7:30-8:20 AM\nBreakfast\n Seascape Room\n\n\n8:20-8:30 AM\nBreak\n\n\n8:30-9:30 AM\nFaculty Lightning Talks\n Merrill Hall\n\n\n9:30-9:45\nBreak\n\n\n9:45-10:45 AM\nIce Breaker\n Merrill Hall\n\n\n10:45-11:00 AM\nBreak \n\n\n11:00-12:00 PM\nPoster Session I\nMerrill Hall\n\n\n12:00-1:00 PM\nLunch\nSeascape Room\n\n\n1:00-1:10 PM\nBreak\n\n\n1:10-2:10 PM\nFaculty Lightning Talks\n Merrill Hall\n\n\n2:10-3:00 PM\nCasual Faculty Forum\nSurf and Sand\n\n\n2:10-5:00 PM\nSandcastle Competition (optional)\nAsilomar Beach Area\n\n\n5:00-6:00 PM\nPoster Session II\n Merrill Hall\n\n\n6:00-7:10 PM\nDinner\nSeascape\n\n\n7:00-7:10 PM\nBreak\n\n\n7:10-9:00 PM\nCommunity Game Night\nMerrill Hall\n\n\n\nWednesday\, September 20 \n\n\n\nTime\nActivity\nWhere\n\n\n7:30-8:30 AM\nBreakfast\nSeascape\n\n\nPlease check out of your room by 11 AM\n\n\n8:30-9:30 AM\nFaculty Lightning Talks\nMerrill Hall\n\n\n9:30-10:30 AM\nRoadmap Overview and Breakouts\n\n\n10:30-11:45 AM\nNew Student Orientation\n\n\n11:00-11:45 AM\nReturning students Cohort Huddles\n\n\n11:45 AM\nNew Student Lunch\nMerrill Hall
URL:https://dbds.stanford.edu/event/dbdb-retreat-september-18-20-asilomar-conference-center/
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