This award is given in recognition of outstanding research in an abstract submitted and poster presented at the the Association for Diagnostics & Laboratory Medicine (ADLM) Annual Meeting. The Data Science & Informatics Division Officers selects abstracts for this award from those accepted by ADLM Annual Meeting Organizing Committee. Recipients receive an award and are recognized during the Data Science & Informatics Division event at the ADLM Annual Scientific Meeting. Awards handing out before 2024, were done so under the division's previous name "The Informatics Division."
Hunter Allan Miller, Ph.D
Automation of serum protein immunofixation electrophoresis interpretation with artificial intelligence(AI)
Jeffery Wang
Diagnosis of Lupus Anticoagulant Cases using Deep Neural Networks
Christopher Douglas
Development of a Novel software System for Providing Real-Time Laboratory Test Information to Clinicians at Point of Order Entry
Ankit Gupta, PhD
A Clinical Decision System Using Deep Learning for Accurate and Timely Sepsis Diagnosis Based on Electronic Health Records of Patients in the ICU
Soora Wi, MA/MS
Using Natural Language Processing to Improve Discreet Data Capture from Interpretive Cervical Biopsy Diagnoses at a Large Healthcare Organization
Reinhardt Hesse, MBChB
Machine Learning Outperforms Traditional Screening and Diagnostic Tools for the Detection of Familial Hypercholesterolaemia
Martha Lyon, PhD
A Simulation Study to Assess the Effect of Analytic Error on Neonatal Glucose Measurements Using Canadian Pediatric Society Position Statement Action Thresholds
Karen Triep, PhD
Data-driven Precision in Healthcare: Diagnostic Accuracy and Operating Efficiencies Using Routinely Collected Health Data - Acute Kidney Injury, Chronic Kidney Disease
Keluo Yao, MD
Re-imagining protein electrophoresis interpretative workflow for the 21st century
Kenneth E. Blick, PhD
William A. Coughlin
