2025 ADLM Data Science Symposium
Date: July 31, 2025
Time: 1:00 PM – 5:00 PM
Location: Marriott Marquis Chicago, Great Lakes Ballroom A/B
Accredited: 2.25 ACCENTcontinuing-education credit hours
Hosted by: Association for Diagnostics & Laboratory Medicine (ADLM)
Refreshments: Light snacks and beverages were provided
The 2025 ADLM Data Science Symposium brought together leading experts in laboratory medicine and data science for an afternoon of cutting-edge presentations and discussions on AI applications in diagnostics, data-driven quality improvement, and lab utilization analytics.
Symposium Agenda
1:00 PM – Welcome
Sarah Wheeler, University of Pittsburgh
1:05 PM – A Dashboard to Track Lab Utilization by Diagnosis Code Indications
Allison Chambliss, UCLA
1:15 PM – Leveraging Clinical Decision Support to Improve Equity in Peripartum Urine Drug Screening
Vahid Azimi, Alameda Health System
1:25 PM – Lowering the Barrier to Knowledge Acquisition by Providing Data as a Service
Patrick Mathias, University of Washington
1:35 PM – IV Fluid Contamination in CBCs Motivated Unnecessary RBC Transfusions
Nicholas Spies, ARUP Laboratories
1:45 PM – Application of Data Analysis for Quality Improvement in Turn-Around Time for Clinical Testing
Yu (Jada) Zhang, MD Anderson Cancer Center
1:55 PM – Break
2:05 PM – Application of Modern Data Science Approaches to Quantify and Realize the Value of Laboratory Testing
Daniel Herman (Moderator), University of Pennsylvania
Tylis Chang, Northwell Health
Lee Schroeder, University of Michigan
2:50 PM – Break
3:05 PM – Was AI “Snake Oil”?
He (Sarina) Yang (Moderator), Weill Cornell Medicine
Bobby Reddy Jr., Prenosis
Mark Zaydman, Washington University
3:50 PM – Break
4:05 PM – Detection of Specific Antinuclear Antibodies Using an AI-Enabled HEp-2 Indirect Immunofluorescence Assay
Patrick Vanderboom, Mayo Clinic
4:15 PM – ICD-10 Codes for Detection of Lot-to-Lot Drift in Reagents
Steven Cotten, University of North Carolina
4:25 PM – Automation of Serum Protein Immunofixation Electrophoresis Interpretation with AI
Hunter Miller, University of Louisville
4:35 PM – Harnessing Patient Data to Detect Systematic Shift in Daptomycin Susceptibility Testing Results
Rebekah Dumm, Washington University
4:45 PM – Closing Remarks
Sarah Wheeler, University of Pittsburgh
4:50 PM – Networking Session
Thank you to our sponsor!
Interested in sponsorship opportunities? Contact [email protected] for information.