2026 Data Science Symposium

Date: July 30, 2026
Time: 1:00 PM – 5:00 PM (PT)
Location: Anaheim Marriott, Platinum Ballroom 1–4, Anaheim, CA
Accredited: 2.75 ACCENT continuing education credit hours
Hosted by: Association for Diagnostics & Laboratory Medicine (ADLM)
Theme: Delivering Value with Laboratory Data Science

The 2026 ADLM Data Science Symposium brought together laboratory professionals, data scientists, informaticians, and industry leaders to explore how data science and artificial intelligence can be used to deliver measurable value in laboratory medicine. The program featured a keynote presentation, panel discussion, poster showcase, networking opportunities, and lightning talks highlighting

innovative applications of data science across laboratory medicine.

Symposium Agenda

1:00 PM – Welcome, ADLM Data Science Update, and Data Science Tool Discussion
Sarah Wheeler, PhD, University of Pittsburgh

1:15 PM – Keynote Address
Brian Jackson, MD, MS, University of Maryland

1:45 PM – Keynote Q&A
Moderated by Chris McCudden, PhD

2:00 PM – Networking and Data Science Poster Showcase
Featuring the ADLM Data Science & Informatics Division

2:30 PM – Panel Discussion: Regulatory and Quality Compliance in Laboratory Medicine AI
Mark Zaydman, MD, PhD (Moderator), Washington University Medicine
Nick Trentadue, Epic
Michael King, Dr. rer. nat., Roche Diagnostics*
Sarina Yang, PhD, Weill Cornell Medicine

3:05 PM – Lightning Talks: Session 1

Moderator: Ming Jin, PhD, UCI School of Medicine

Machine Learning-Enhanced Diagnostic Performance of Plasma Metanephrines in PPGL: A Large-Scale Real-World Clinical Cohort Study
Se-eun Koo, MD, Samsung Medical Center

AI-R Apparent: Using Artificial Intelligence and refineR on Big Data to Unmask Chloride-Driven Anion Gap Differences Across a Multi-Laboratory, Multi-Platform Enterprise
Jonathan Tucci, MD/PhD, Vanderbilt University Medical Center

Estimation of Post-Transplant Glomerular Filtration Rate in Living Kidney Transplant Recipients Determined by Pre-Transplantation Characteristics
Kathleen Madden, MD, MBA, University of California San Diego

3:45 PM – Networking Break and Poster Continuation

4:00 PM – Lightning Talks: Session 2

Moderator: Li Zha, PhD, Harvard Medical School / Boston Children's Hospital

Automating Reports to Monitor Laboratory Stability and Defects
Bernard Cook, PhD, DABCC, FACB, Henry Ford Health

DAEDALUS: A De Novo Artificial Intelligence Co-Designed Bioinformatics Pipeline for Infectious Disease Next-Generation Sequencing Applications
Lucas Osborn, PhD, D(ABMM), MLS(ASCP), Keck School of Medicine of USC

Real-World Evaluation of Service Flow Redesign Using Proprietary AI Sentiment Analysis in a Clinical Diagnostics Support Channel
Gustavo Barra, PhD, Sabin Diagnóstico e Saúde

Push, Chat, Loop Me In: Evaluating the Performance of a Tiered Closed-Loop Critical Result Notification System
Kyana Garza, PhD, DABCC, NRCC, University of California Irvine

4:45 PM – Closing Remarks and Next Steps
Sarah Wheeler, PhD, University of Pittsburgh

*Presenting in a personal capacity and not on behalf of Roche.

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2026 Data Science Symposium

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