2025 ADLM Data Science Symposium to Connect Data Scientists with Clinical Professionals

This free event will start at 1 p.m. on July 31, the last day of ADLM 2025 (formerly the AACC Annual Scientific Meeting & Clinical Lab Expo).

The 2024 ADLM Data Science Symposium featured a variety of panel discussions and project talks on topics essential to artificial intelligence (AI) and machine learning in the clinical laboratory, and the 2025 symposium promises more of the same. ADLM's Data Analytics Steering Committee wants to build on the success of last year’s symposium, which exceeded their expectations, and has created a full and varied agenda. The event is important to ADLM’s mission to serve as a place where data scientists and laboratory medicine can find a home. Although there is no cost for the symposium, people who would like to attend must register in advance. The symposium provides an opportunity for the attendees to come together and specifically talk about data science rather than the mixed topics from the annual meeting. The day will be packed with impactful “lightning” talks, where experts talk for 10 to 15 minutes about their current work in data science. For example, Hunter Miller, PhD, clinical chemistry fellow at the University of Louisville, will speak about using artificial intelligence (AI) to aid in the interpretation of serum protein immunofixation electrophoresis.

In addition, Nick Spies, MD, medical director of applied AI at ARUP, will discuss how IV fluid contamination in CBCs can lead to unnecessary RBC transfusions. Keeping lightning talks short helps ensure that each one packs a punch — and a variety of topics can be covered. The symposium will also include two panel presentations. The first one, called “Is AI ‘Snake Oil’?” features He Sarina Yang, PhD, DABCC, associate professor in pathology at Weill Cornell Medicine; Bobby Reddy Jr., PhD, CEO, and co-founder of Prenosis; and Mark Zaydman, MD, PhD, assistant professor of pathology and immunology at Washington University in St. Louis. The second panel will be about leveraging data science to quantify the value of laboratory medicine testing. It features Daniel Herman, MD, PhD, assistant professor of pathology and laboratory medicine at the University of Pennsylvania; Lee Schroeder, MD, PhD, director of point-of-care testing at the University of Michigan, and two additional panelists who are yet to be determined.

The symposium brings together a lot of different perspectives on data science for all of the laboratories, not just one specific kind of laboratory, with participants coming from academia, community hospitals, and industry. Sarah Wheeler, PhD, FADLM, CC(NRCC), chair of ADLM’s Data Analytics Steering Committee and associate professor of pathology at the University of Pittsburgh, hopes the summit will connect data scientists with clinical professionals, industry colleagues, and “people who are interested in adding data science to their repertoire as laboratory medicine professionals but haven’t necessarily stepped into that yet,” she said. “This is a really great forum for us all to be communicating because cross-disciplinary dialogue is vital to moving laboratory medicine data science forward to help our patients.”

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