Register now to attend the free ADLM Data Science Summit on August 1, 2024, from 1–5 p.m. at the Marriott Marquis Chicago. The ADLM Data Science Summit is for anyone who applies, or who is interested in, data science and analytics in the practice of laboratory medicine. Meet and learn from likeminded peers with panel discussions and presentation sessions. Network and consider giving your own presentation.
Complete the registration form below to attend the ADLM Data Science Summit.
Agenda
ADLM's Data Analytics Steering Committee is planning a full and varied agenda of panel discussions and project presentations. The following talks are confirmed. Additional speakers are being selected and a detailed agenda will be posted to this page closer to the Summit date.
- Navigating the Changing Regulatory Landscape for AI in Clinical Diagnostics [panel]: Robert Benirschke, Northshore University HealthSystem; David Bussian, Pattern Bioscience; Bobby Reddy, Prenosis
- Ensemble Learning Allows for Detection of Significant Intravenous Fluid Contamination in Basic Metabolic Panels Missed by Current Methods: Nicholas Spies, ARUP Laboratories
- Using Geospatial Tools to Analyze Equity in Access to Laboratory Testing: Vahid Azimi, Washington University
- Containerization and the Clinical Laboratory: Dustin Bunch, Nationwide Children's Hospital
- Forget EP Evaluator: Customizable Reports with R and Python: Rajeevan Selvaratnam, University Health Network
- Celiac Testing Algorithm Normalizes the Rate of Biopsies and Positivity: Lee Schroeder, University of Michigan
- Deep Reinforcement Learning for Cost-Effective Medical Diagnostic Testing: Yuan Luo, Northwestern University