/ 2024 I2DB Symposium: The Power of AI in Medicine

2024 I2DB Symposium: The Power of AI in Medicine

April 12, 2024
11:30 am - 5:00 pm
Donald Danforth Plant Science Center, 975 N Warson Rd, Olivette, MO 63132

PRESENTING SPONSOR
Technology Partners, Inc


Attend in person

11:30 a.m. – 5 p.m. CT
Donald Danforth Plant Science Center
975 N Warson Rd, Olivette, MO 63132

Attend virtually (keynote only)

Watch Erin Holve, PhD, MPP, MPH, present the keynote Bohigian Lectureship in Biomedical Informatics from 1 – 1:50 p.m. CT via Zoom.

This year, we continue to explore the power of artificial intelligence to transform medicine, showcasing its potential to enhance diagnostics, personalize treatment, and improve patient outcomes.


Schedule of Events

Registration
11:30 a.m.

Lunch and Lightning Talks
12 – 1 p.m.

Lightning Talk Presenters

Joshua Denzer, PhD 
BI Solution Developer  
Business Intelligence & Data Solutions 
BJC Healthcare 

Levi Kaster  
Bioinformatics Research Assistant 
Institute for Informatics, Data Science, and Biostatistics  
School of Medicine  
Washington University in St. Louis 

Seunghwan (Nigel) Kim 
PhD Candidate, Biomedical Informatics and Data Science 
Division of Biology and Biomedical Sciences 
School of Medicine  
Washington University in St. Louis 

Sunny Lou, MD, PhD  
Instructor in Anesthesiology 
Division of Adult Cardiothoracic Anesthesiology  
Division of Clinical and Translational Research  
School of Medicine  
Washington University in St. Louis 

Matthew Schuelke  
Medical Informaticist III 
Institute for Informatics Center for Applied Clinical Informatics 
School of Medicine  
Washington University in St. Louis 

Mei Wang  
PhD Student  
Division of Biology & Biomedical Sciences  
Division of Public Health Sciences  
Department of Surgery  
School of Medicine  
Washington University in St. Louis 

Ben Warner  
PhD Student 
McKelvey School of Engineering  
AI for Health Institute  
Washington University in St. Louis 

Bohigian Lectureship in Biomedical Informatics
1 – 1:50 p.m.

KEYNOTE

Erin Holve, PhD, MPP, MPH
Chief of Research Infrastructure
Patient-Centered Outcomes Research Institute (PCORI)

At PCORI, Dr. Holve executes strategies to advance patient-centered outcomes research methods and study design; develops and leads a team that will deliver on PCORI’s vision of a large, efficient, and patient-centered clinical data research infrastructure; and leads strategies to advance training and knowledge for patient-centered outcomes research. Previously, Dr. Holve was Director of Health Reform and Innovation for DC Department of Health Care Finance (DC Medicaid) and chaired the Mayor’s Health Information Exchange Policy Board. Dr. Holve is widely published author on health access, health IT, value-based payment, and the design of learning health systems. 

She holds a PhD in health services research from the Johns Hopkins School of Public Health and masters’ degrees in public health and public policy from the University of California, Berkeley.

Panel Discussion
2 – 3 p.m.

Panelists
Ann Cappellari

Ann Cappellari, MD
Chief Medical Information Officer
SSM Health 

Chenyang Lu

Chenyang Lu, PhD
Director, AI for Health Institute
Fullgraf Professor of Computer Science & Engineering
McKelvey School of Engineering
Washington University in St. Louis

Philip R.O. Payne, PhD, FACMI
Director, Institute for Informatics, Data Science and Biostatistics
Janet and Bernard Becker Professor
Associate Dean for Health Information and Data Science, School of Medicine
Chief Data Scientist, School of Medicine
Digital Transformation Chair
Washington University in St. Louis

Michael Rozier

Michael Rozier, SJ, PhD
Associate Professor & Department Chair, Health Management & Policy
Saint Louis University

Adam Wilcox

Moderator

Adam Wilcox, PhD, FACMI
Director, Center for Applied Clinical Informatics
Professor of Medicine, Division of General Medical Sciences
Washington University in St. Louis

Datathon Presentations and Awards
3 – 4 p.m.

I2DB Datathon – Medical Risk Prediction Challenge 

The inaugural I2DB Datathon is a unique opportunity for teams to engage in a spirited competition, leveraging synthetic medical data, to build accurate risk prediction models. Participants receive a comprehensive training dataset and the chance to present their work to experts in the field at the annual I2DB Symposium. Winners in first, second, and third place are duly rewarded with cash prizes. Join us in this first-ever competition to showcase your talent and contribute to the advancement of medical data analysis.

Participants include (team name followed by team captain and fellow team members):

  • BDM_Team2: Xuping Luo, Ruby Gao, Zhen Luo, and Purva Patel.
  • Dan DI2: Dan Maranan.
  • The AI prediction pawtners: Mei Wang, Yi-Hsuan Shih, Yuan-Hung Kuan, Su-Hsin Chang, and Jr-Shin Li.
  • BDM_T4: Jingyi Zhang, Wenjing Lin, Zirui Chen, and Trevor Zimmerman.
  • LifeSavers Analytics: Gauri Hemant Darekar, Yian Liu, Xuanwei Li, and Qingqing Li.
  • The Predictablizers: Min Zhao, Hao Fan, and Weiwei Ma.
  • Sandhya: Sandhya Tripathi and Joshin Kumar.
  • DataGeeks: Zheng Xu, Zining Yang, Yueshui Lyu, and Preeti Sharma.
  • Dude, Where’s My Model?: Jason Dude, Keith Lohse, Tanner Reece.
  • Python Pandemic Predictors: Ashish Vaidyanathan, Jeevan Sivamohan, Ben Dizdar, Zachary Bertino, and Jacob Haralson.
  • Student: Matthew Schuelke.
  • Team 156: Jeff Zhang.
I2DB Datathon Judges

Charles (Chuck) Goss, PhD 
Associate Director, Center for Biostatistics and Data Science 
Assistant Professor of Biostatistics 
Center for Biostatistics and Data Science 
School of Medicine   
Washington University in St. Louis 

Mackenzie Hofford, MD 
Associate Chief Research Information Officer 
Assistant Professor of Medicine Division of General Medicine 
Center for Applied Clinical Informatics 
School of Medicine   
Washington University in St. Louis 

Jinghua Ou, PhD
Program Officer, Methodological Research
Patient-Centered Outcomes Research Institute (PCORI) 

Linying Zhang, PhD 
Assistant Professor of Biostatistics 
Center for Biostatistics and Data Science 
School of Medicine   
Washington University in St. Louis 

Closing
4 p.m.

Reception and Poster Session
4 – 5 p.m.

Poster Presenters

Phillip V Asaro, MD 
Director, Emergency Medicine Informatics, Applications & Analytics 
Assistant Professor, Emergency Medicine 
School of Medicine  
Washington University in St. Louis 

Graham Bachman 
Bioinformaticist 
McDonnell Genome Institute
School of Medicine 
Washington University in St. Louis 

Laura R. Baratta 
Medical Scientist Training Program Student  
Division of Biology and Biomedical Sciences 
School of Medicine  
Washington University in St. Louis 

Patrick Donohue 
MD/MS Biomedical Informatics Student 
School of Medicine  
Washington University in St. Louis 

Joshua Denzer, PhD 
BI Solution Developer  
Business Intelligence & Data Solutions
BJC Healthcare 

Sung Min Ha 
PhD Candidate, Imaging Science 
Washington University in St. Louis
School of Medicine  
Washington University in St. Louis 

Ethan Hillis 
Medical Informaticist II 
Washington University in St. Louis
School of Medicine  
Washington University in St. Louis 

Matthew Schuelke  
Medical Informaticist III 
Institute for Informatics Center for Applied Clinical Informatics 
School of Medicine  
Washington University in St. Louis 

Levi Kaster  
Bioinformatics Research Assistant 
Institute for Informatics, Data Science, and Biostatistics  
School of Medicine  
Washington University in St. Louis 

Seunghwan (Nigel) Kim 
PhD Candidate, Biomedical Informatics and Data Science 
Division of Biology and Biomedical Sciences 
School of Medicine  
Washington University in St. Louis 

Kendall Kiser, MD MS 
Resident Physician 
Department of Radiation Oncology 
School of Medicine  
Washington University in St. Louis 

Yuan-Hung, Kuan 
PhD Candidate, Electrical and Systems Engineering
McKelvey School of Engineering
Washington University in St. Louis 

Sunny Lou, MD, PhD  
Instructor in Anesthesiology 
Division of Adult Cardiothoracic Anesthesiology  
Division of Clinical and Translational Research  
School of Medicine  
Washington University in St. Louis 

Brianna Munnich 
Research Technician  
Department of Pathology and Immunology 
School of Medicine  
Washington University in St. Louis 

Inez Oh 
Senior Scientist 
Institute for Informatics, Data Science, and Biostatistics 
School of Medicine  
Washington University in St. Louis 

James R. Rudloff, MD
Clinical Fellow, Pediatric Emergency Medicine 
School of Medicine  
Washington University in St. Louis 

Yi-Hsuan Shih 
PhD Candidate, Electrical and Systems Engineering 
McKelvey School of Engineering 
Washington University in St. Louis 

Sandhya Tripathi, PhD
Postdoctoral Research Associate 
Department of Anesthesiology 
School of Medicine 
Washington University in St. Louis 

Ashish Vaidyanathan 
Undergraduate Research Assistant, Biomedical Engineering 
McKelvey School of Engineering 
Washington University in St. Louis 

Mei Wang  
PhD Student  
Division of Biology & Biomedical Sciences  
Division of Public Health Sciences  
Department of Surgery  
School of Medicine  
Washington University in St. Louis 

Ben Warner  
PhD Student 
McKelvey School of Engineering  
AI for Health Institute  
Washington University in St. Louis 

Pan Xiao 
PhD Student, Imaging Science  
Mallinckrodt Institute of Radiology 
School of Medicine  
Washington University in St. Louis 


View symposium committee
Adam Wilcox, PhD, FACMI

Adam Wilcox, PhD, FACMI

Director, Center for Applied Health Informatics
Professor of Medicine, Division of General Medicine & Geriatrics

Linying Zhang, PhD

Linying Zhang, PhD

Assistant Professor of Biostatistics

Mackenzie Hofford, MD

Mackenzie Hofford, MD

Associate Chief Research Information Officer, School of Medicine
Assistant Professor of Medicine Division of General Medicine School of Medicine

Charles Goss, PhD

Charles Goss, PhD

Associate Director, Center for Biostatistics and Data Science
Assistant Professor of Biostatistics

Richard Head, MS

Richard Head, MS

Director, Center for Translational Bioinformatics
Professor of Genetics
Professor of Pathology and Immunology