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BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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BEGIN:DAYLIGHT
DTSTART:20250309T020000
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BEGIN:VEVENT
DESCRIPTION:2026 Yale Medical AI Symposium Hosted by: Yale Center for Clin
 ical Investigation (YCCI) and Yale Biomedical Informatics and Computing (
 YBIC)\, Yale School of Medicine Location: 101 College St\, New Haven\, CT
  06510 (in-person for presenters and audience\, remote for those who want
  to attend only) Date: March 26\, 2026 Time : 8am - 4pm (followed by a re
 ception) 🚨 In-Person Registration Deadline: March 19\, 2026 Overview The
  Yale Center for Clinical Investigation (YCCI) and the Yale Biomedical In
 formatics and Computing (YBIC) Core at Yale School of Medicine invite par
 ticipation from Clinical and Translational Science Award (CTSA) hubs and 
 medical AI experts to a one-day Medical Artificial Intelligence (AI) Symp
 osium. In person attendance is expected from US East Coast participants. 
 The symposium will bring together investigators\, clinicians\, informatic
 ians\, data scientists\, and trainees to share advances in medical AI\, f
 oster cross-CTSA collaboration\, and discuss best practices for developin
 g\, evaluating\, and deploying AI in clinical and translational research.
  We invite CTSA-affiliated institutions to attend and to submit poster pr
 esentations highlighting ongoing or completed work at the intersection of
  AI\, informatics\, clinical and translational science. Symposium Objecti
 ves Highlight innovative AI methods and applications in clinical and tran
 slational research Promote collaboration and knowledge exchange across CT
 SA hubs Discuss challenges related to data quality\, governance\, reprodu
 cibility\, and responsible AI Identify opportunities for multi-site studi
 es and shared CTSA AI infrastructure Call for Posters - Deadline Mar. 6\,
  2026 We welcome abstracts describing research\, methods\, platforms\, to
 ols\, or real-world use cases relevant to medical AI. Submissions may rep
 resent early-stage concepts\, ongoing projects\, or mature implementation
 s. Poster presenters must attend in person. Submit your abstract!\n\nAdmi
 ssion:\nFree\n\nFood:\nBreakfast\, Coffee\, Lunch\, Tea\n\nDetails URL:\n
 https://medicine.yale.edu/event/2026-yale-medical-ai-symposium-agenda/\n
DTEND;TZID=America/New_York;VALUE=DATE:20260327
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York;VALUE=DATE:20260326
LOCATION:Zoom - Register to Receive the Link
SEQUENCE:0
STATUS:Confirmed
SUMMARY:2026 Yale Medical AI Symposium
UID:d8dac355-383c-4e44-81f6-68615751f500
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Registration & Continental Breakfast • Check‑in and networking
  • Light breakfast provided • Posters may be set up during this time\n\nA
 dmission:\nFree\n\nFood:\nBreakfast\n\nDetails URL:\nhttps://medicine.yal
 e.edu/event/registration-and-breakfast-26/\n
DTEND;TZID=America/New_York:20260326T080000
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T070000
GEO:41.304048;-72.930993
LOCATION:101 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Registration & Breakfast
UID:df4b3a7b-99eb-4196-8f4b-d0b106cd0dc5
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Lucila Ohno-Machado\, MD\, MBA\, PhD Deputy Dean for Biomedica
 l Informatics\; Chair of Biomedical Informatics and Data Science\; Profes
 sor of Medicine and Biomedical Informatics and Data Science\, Yale School
  of Medicine “Welcome” Nancy J. Brown\, MD Dean of the Yale School of Med
 icine and C.N.H. Long Professor of Internal Medicine\, Yale School of Med
 icine “Opening Remarks”\n\nSpeakers:\nNancy Brown\; Lucila Ohno-Machado\n
 \nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/welco
 me-and-opening-remarks-26/\n
DTEND;TZID=America/New_York:20260326T081500
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T080000
LOCATION:Zoom
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Welcome & Opening Remarks
UID:5e59d23d-78a5-46f1-85cc-4aeca990d3c5
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:\nSpeaker:\nSusan Gregurick\, Ph.D.\n\nAdmission:\nFree\n\nDet
 ails URL:\nhttps://medicine.yale.edu/event/keynote-presentation-26/\n
DTEND;TZID=America/New_York:20260326T090000
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T081500
LOCATION:Zoom
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Keynote Presentation
UID:7e36e54f-6db9-4545-bb43-074f221ecc9a
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Session Chair: Allen Hsiao\, MD\, FAAP\, FAMIA Professor of Pe
 diatrics (Emergency Medicine) and of Biomedical Informatics & Data Scienc
 e\, Yale School of Medicine\; Chief Health Information Officer\, YNHHS Sp
 eakers: Rohan Khera\, MD\, MS Associate Professor of Cardiovascular Medic
 ine\, Director of Cardiovascular Data Science Lab\, Yale School of Medici
 ne “Transforming Cardiovascular Care and Accelerating Discovery with Arti
 ficial Intelligence” Jeremy Warner\, MD\, MS\, FAMIA\, FASCO Professor of
  Biostatistics\, Professor of Medicine\, Brown University “The Present an
 d Future of Knowledge Representation in Hematology and Oncology” Richa Sh
 arma\, MD\, MPH Associate Professor of Neurology\, Yale School of Medicin
 e “Artificial Intelligence to Prevent Recurrent Stroke” Andrew Taylor\, M
 D\, MHS Professor of Emergency Medicine\; Vice Chair of Research and Inno
 vation\, University of Virginia “AI Agents\, Automation\, and Value Repre
 sentation in Medicine”\n\nSpeakers:\nRohan Khera\; Jeremy Warner\, MD\, M
 S\, FAMIA\, FASCO\; Andrew Taylor\, MD\, MHS\; Richa Sharma\n\nAdmission:
 \nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/thematic-session-
 i/\n
DTEND;TZID=America/New_York:20260326T100000
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T090000
LOCATION:Zoom
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Session I: AI in Clinical Practice
UID:c9000ff5-1096-4180-898a-281ed23d4ef0
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:• Refreshments and networking\n\nAdmission:\nFree\n\nFood:\nCo
 ffee\n\nDetails URL:\nhttps://medicine.yale.edu/event/coffee-break-26/\n
DTEND;TZID=America/New_York:20260326T101500
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T100000
GEO:41.304048;-72.930993
LOCATION:101 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Coffee Break
UID:865e5bfb-644e-415d-b716-15bc26531e46
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Session Chair: Yize Zhao\, PhD Associate Professor of Biostati
 stics and Associate Professor of Biomedical Informatics & Data Science\, 
 Yale School of Public Health Speakers: Andrew Loza\, MD\, PhD Instructor 
 of Biomedical Informatics and Data Science\; General Pediatrics\, Yale Sc
 hool of Medicine “Multimodal Medical Foundation Models for Risk Predictio
 n and Treatment Effect Estimation” Jaideep Talwalkar Professor of Interna
 l Medicine and Pediatrics\; Associate Dean for Education Technology and I
 nnovation\; Director of Clinical Skills\, Yale School of Medicine “AI in 
 Medical Education at YSM” Yonghui Wu\, PhD Associate Professor of Health 
 Outcomes & Biomedical Informatics\, University of Florida  Chief Data Sci
 entist & Director of Natural Language Processing UF Clinical and Translat
 ional Science Institute “Generative AI to Improve Medical Discovery and H
 ealthcare” Hua Xu\, PhD Professor of Biomedical Informatics and Data Scie
 nce\; Vice Chair for Research and Development\, Department of Biomedical 
 Informatics and Data Science\; Associate Dean for Biomedical Informatics\
 , Yale School of Medicine “From LLMs to Agents: AI Applications in Medici
 ne”\n\nSpeakers:\nAndrew Loza\; Yonghui Wu\, PhD\; Hua Xu\; Jaideep Talwa
 lkar\n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event
 /thematic-session-ii/\n
DTEND;TZID=America/New_York:20260326T111500
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T101500
LOCATION:Zoom
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Session II: LLMs\, AI Agents\, and Applications
UID:475e598b-c047-4566-b38c-5243cce4a71d
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Session Chair: Chi Liu\, PhD Professor of Radiology and Biomed
 ical Imaging\, Yale School of Medicine\; Associate Director of Biomedical
  Imaging Technology\, Yale Biomedical Imaging Institute\; Director for Re
 search Faculty Affairs\, Radiology & Biomedical Imaging Georges El Fakhri
 \, PhD\, DABR Director\, Yale Biomedical Imaging Institute\; Director\, Y
 ale PET Center\; Vice-Chair\; Professor of Radiology & Biomedical Imaging
 \; Professor of Biomedical Informatics & Data Science\, Yale School of Me
 dicine “Successes and Challenges of Deep Learning in Medical Imaging” Qin
 gyu Chen\, PhD Assistant Professor of Biomedical Informatics and Data Sci
 ence\, Yale School of Medicine “Multimodal AI in Medicine: From Ophthalmo
 logy to Broader Medical Applications” Thibault Marin\, PhD Assistant Prof
 essor of Radiology and Biomedical Imaging\, Yale School of Medicine "Deep
  Learning in Quantitative Imaging” Maria Rodriguez Martinez\, PhD\, MSc A
 ssociate Professor of Biomedical Informatics and Data Science\, Yale Scho
 ol of Medicine “Modeling Flexible Proteins for Generative AI”\n\nSpeakers
 :\nGeorges El Fakhri\; Qingyu Chen\; Thibault Marin\; María Rodríguez Mar
 tínez\n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/even
 t/thematic-session-iii/\n
DTEND;TZID=America/New_York:20260326T121500
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T111500
LOCATION:Zoom
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Session III: Imaging and Multimodal Data
UID:53c58bc0-80bb-4ce4-a8d3-494fefdab3c2
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Session Chair: Jennifer E. Miller\, PhD Co-Director\, Program 
 for Biomedical Ethics\; Associate Professor of Medicine (Internal Medicin
 e)\, Yale School of Medicine Yong Chen\, PhD\, FASA\, FACMI Professor of 
 Biostatistics\; Senior Scholar at Center for Clinical Epidemiology & Bios
 tatistics\, University of Pennsylvania “Empowering Your Study Via Federat
 ed Learning Using PDA” Griffin Weber\, MD\, PhD Associate Professor of Me
 dicine\, Beth Israel Deaconess Medical Center  Associate Professor of Bio
 medical Informatics\, Harvard Medical School “1000 Phenotypes: Scalable A
 utomated Computational Phenotyping in i2b2” Adrian H. Zai\, MD\, PhD\, MP
 H Chief Research Informatics Officer & Associate Professor of Population 
 and Quantitative Health Sciences\, UMass Chan Medical School “Principles 
 for AI Translation in Healthcare: Progress from the CTSA Network” Hyungho
 on (Hoon) Cho\, PhD Assistant Professor of Biomedical Informatics & Data 
 Science and of Computer Science\; Director of Graduate Admissions\, Human
  Genome Sciences\, Yale School of Medicine “Enabling Privacy-Preserving C
 ollaboration in Genomic Medicine”\n\nSpeakers:\nYong Chen\, PhD\; Griffin
  Weber\, MD\, PhD\; Adrian H. Zai\, MD\, PhD\, MPH\; Hyunghoon (Hoon) Cho
 \n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/the
 matic-session-iv/\n
DTEND;TZID=America/New_York:20260326T143000
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T133000
LOCATION:Zoom
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Session IV: Ethics\, Privacy\, and Implementation in Medical AI
UID:28bcfe29-c34e-46b6-bbf1-97cc84d9ec18
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Moderator: Daniella Meeker\, PhD Associate Professor of Biomed
 ical Informatics & Data Science\, Yale School of Medicine  Chief Research
  Information Officer\, Yale New Haven Health System Panelists: Lee H. Sch
 wamm\, MD Associate Dean\, Digital Strategy & Transformation\, Professor 
 in Biomedical Informatics & Data Science and Professor of Neurology\, Yal
 e School of Medicine  Senior Vice President & Chief Digital Health Office
 r\, Yale New Haven Health System Bhramar Mukherjee\, PhD Senior Associate
  Dean of Public Health Data Science and Data Equity\; Professor of Biosta
 tistics\; Professor of Epidemiology (Chronic Diseases) and of Statistics 
 and Data Science\, Yale School of Public Health Thomas R. Campion\, Jr.\,
  PhD\, FACMI\, FAMIA Chief Research Informatics Officer and Director of B
 iomedical Informatics\, WCM Clinical & Translational Science Center  Prof
 essor of Research in Population Health Sciences\, Weill Cornell Medicine 
 Karthik Natarajan\, PhD Assistant Professor of Biomedical Informatics\, C
 olumbia University Kristi Holmes\, PhD Director\, Galter Health Sciences 
 Library\; Associate Dean for Knowledge Management and Strategy\; Professo
 r\, Preventive Medicine (Biostatistics and Informatics)\, Medical Educati
 on\, Northwestern Medicine\n\nSpeakers:\nDaniella Meeker\; Lee Schwamm\; 
 Bhramar Mukherjee\; Thomas R. Campion\, Jr.\, PhD\, FACMI\, FAMIA\; Krist
 i Holmes\, PhD \n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yal
 e.edu/event/panel/\n
DTEND;TZID=America/New_York:20260326T153000
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T143000
LOCATION:Zoom
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Panel: Building a Cross‑CTSA Ecosystem for Medical AI Collaboration
UID:acd667a2-80f6-42a6-b9d8-d74e7cab80b2
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:\nAdmission:\nFree\n\nFood:\n\n\nDetails URL:\nhttps://medicin
 e.yale.edu/event/closing-remarks-26/\n
DTEND;TZID=America/New_York:20260326T153500
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T153000
LOCATION:Zoom
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Closing Remarks
UID:8adae8c0-d825-4ed8-a308-cee48f22610b
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Poster Session 2 & Networking\n\nAdmission:\nFree\n\nFood:\nSn
 acks\n\nDetails URL:\nhttps://medicine.yale.edu/event/poster-session-and-
 networking-reception/\n
DTEND;TZID=America/New_York:20260326T170000
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T153500
GEO:41.304048;-72.930993
LOCATION:Conference Room 123\, 101 College Street\, New Haven\, CT\, Unite
 d States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Poster Session & Networking Reception
UID:d6f06ea1-fadb-4f06-8c39-89cfe582121c
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:Poster Session 1 & Lunch\n\nAdmission:\nFree\n\nFood:\nLunch\n
 \nDetails URL:\nhttps://medicine.yale.edu/event/lunch-and-networking/\n
DTEND;TZID=America/New_York:20260326T133000
DTSTAMP:20260515T000748Z
DTSTART;TZID=America/New_York:20260326T121500
GEO:41.304048;-72.930993
LOCATION:Conference Room 123\, 101 College Street\, New Haven\, CT\, Unite
 d States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Poster Session 1 & Lunch
UID:365a5985-b317-4b11-98cf-4560f0cb8d5b
END:VEVENT
END:VCALENDAR
