Coming Fall 2025
Data Science in Laboratory Medicine Certificate Program: Sign up now to receive updates when the program launches.
Advancing Patient Care with Data Science in Clinical Laboratories: Highlights from ADLM 2024: Earn 6 ACCENT/CME hours with this course.
The Pressing Need for Data Analytics Literacy in Laboratory Medicine: Learn basic data literacy with an introduction to data analytics and informatics.
Data Science Applications in Laboratory Medicine: Learn about using laboratory data to improve healthcare delivery and operations.
Setting Yourself Up for Data Analytics Success: Discover the required infrastructure needed to successfully implement data analytics for laboratory medicine applications.
What Is Data Analytics in Lab Medicine Anyway? A SYCL panel discussion covering the varying meanings of data analytics in laboratory medicine, as well as ways to use data analytics in the lab.
The Data Analytics and AI Story: Episode 16 of ADLM's Laborastories podcast.
The Data Science Fairness Story: Episode 19 of ADLM's Laborastories podcast.
2024 ADLM Data Science Symposium
Held August 1, 2024, in Chicago, the symposium consisted of the following presentations.
| Title | Speakers |
| Welcome | Anthony Killeen, University of Minnesota |
| ADLM Data Science | Patrick Mathias, University of Washington |
| Navigating the Changing Regulatory Landscape for AI in Clinical Diagnostics |
Robert Benirschke, Northshore University HealthSystem (moderator) Rezwan Ahmed, Roche Diagnostics Ulysses Balis, University of Michigan David Bussian, Pattern Bioscience Bobby Reddy, Prenosis |
| Deep Reinforcement Learning for Cost-Effective Medical Diagnostic Testing | Yuan Luo, Northwestern University |
| Using Geospatial Tools to Analyze Equity in Access to Laboratory Testing | Vahid Azimi, Washington University in St. Louis |
| Use of Large Language Models to Generate Preliminary Drug Screen Sign-Outs | Brody Foy, University of Washington |
| Current and Future Perspectives on Data Use in Laboratory Medicine |
Sarah Wheeler, University of Pittsburgh (moderator) Shannon Haymond, Lurie Children's Hospital Randal Schneider, Abbott Tapan Shah, Siemens Healthineers Stacia Sump, Clinisys |
| Forget EP Evaluator: Customizable Reports with R and Python | Rajeevan Selvaratnam, University Health Network |
| Ensemble Learning Allows for Detection of Significant Intravenous Fluid Contamination in Basic Metabolic Panels Missed by Current Methods | Nicholas Spies, ARUP Laboratories |
| Containerization and the Clinical Laboratory | Dustin Bunch, Nationwide Children's Hospital |
| Celiac Testing Algorithm Normalizes the Rate of Biopsies and Positivity | Lee Schroeder, University of Michigan |
| Closing |
Tylis Chang, Northwell Health Patrick Mathias, University of Washington |
2025 ADLM Data Science Symposium
Held July 31, 2025, in Chicago, the symposium consisted of the following presentations.
| Title | Speakers |
| Welcome | Sarah Wheeler, University of Pittsburgh |
| A Dashboard to Track Lab Utilization by Diagnosis Code Indications | Allison Chambliss, University of California Los Angeles |
| Leveraging Clinical Decision Support to Improve Equity in Peripartum Urine Drug Screening | Vahid Azimi, Alameda Health System |
| Lowering the Barrier to Knowledge Acquisition by Providing Data as a Service | Patrick Mathias, University of Washington |
| IV Fluid Contamination in CBCs Motivates Unnecessary RBC Transfusions | Nicholas Spies, ARUP Laboratories |
| Application of Data Analysis for Quality Improvement in Turn-Around Time for Clinical Testing | Yu (Jada) Zhang, MD Anderson Cancer Center |
| Break | |
| Application of Modern Data Science Approaches to Quantify and Realize the Value of Laboratory Testing |
Daniel Herman, University of Pennsylvania (moderator) Tylis Chang, Northwell Health Lee Schroeder, University of Michigan |
| Break | |
| Is AI "Snake Oil"? |
He (Sarina) Yang, Weill Cornell Medicine (moderator) Bobby Reddy Jr., Prenosis Mark Zaydman, Washington University |
| Break | |
| Detection of Specific Antinuclear Antibodies Using an Artificial Intelligence-Enabled Antinuclear Antibody HEp-2 Indirect Immunofluorescence Assay | Patrick Vanderboom, Mayo Clinic |
| ICD-10 Codes for Detection of Lot-to-Lot Drift in Reagents | Steven Cotten, University of North Carolina |
| Automation of Serum Protein Immunofixation Electrophoresis Interpretation with AI | Hunter Miller, University of Louisville |
| Harnessing Patient Data to Detect Systematic Shift in Daptomycin Susceptibility Testing Results | Rebekah Dumm, Washington University |
| Closing | Sarah Wheeler, University of Pittsburgh |
| Networking |