2023 Becich-Friedman Distinguished Oral Presentations
The Association for Pathology Informatics established the Becich-Friedman Distinguished Oral Presentations at the Pathology Informatics Summit Meetings to honor two founding pillars of both the meeting and the association: Dr. Michael Becich and Dr. Bruce Friedman. Through their tireless efforts over the past three decades, the discipline of Pathology Informatics has both evolved and grown in sophistication, with it now garnering the attention that it rightly deserves. Presentations for this prestigious award are chosen based on their merit for advancing important and timely topics in Pathology Informatics.
Alnoor, MD
Hematopathology Fellow
University of Utah
Error-Analysis in Automated Flow Cytometric Diagnosis
Vahid Azimi, MD
Resident, Clinical Pathology
Washington University School of Medicine, St. Louis
The Serum Free Light Chain Assay Is Less Sensitive for Assessing Monoclonal Gammopathies Among African American Patients
Luke Geneslaw
Senior Product Manager
Memorial Sloan Kettering Cancer Center
Integrating Artificial Intelligence Platforms into Clinical Sign-out at a Large Academic Medical Center
Beatrice Knudsen, MD, PhD
Professor of Computational Pathology
University of Utah
Metastatic Risk Prediction of Clear Cell Renal Carcinoma (ccRCC) by Computer-Assisted Analysis of Histopathology Images
Grace Mahowald, MD
Medical Director, Core Laboratory
Massachusetts General Hospital
Impact of Clinical Decision Support Tools in the Clinical Laboratory
Anil Parwani, MD, PhD, MBA
Vice-Chair of Anatomic Pathology, Director of Pathology Informatics
The Ohio State University
An Informatics-Based Biobanking Solution for Easy Navigation, Annotation, Analysis and Sharing of Biospecimens
Sophie Rand, MPH
Clinical Data Engineer
Weill Cornell Medical College/New York Presbyterian
Development of a Natural Language Processing Workflow for Annotating Clinical Hemepath Reports for Myeloid Neoplasms
Wade Schulz, MD, PhD
Assistant Professor
Yale School of Medicine
Creating a Reference Interval Database to Support Clinical AI/ML Applications with Generalizable Laboratory Phenotypes
Sunil Singhal, MEE
Chief of Digital Pathology Transformation
Baylor College of Medicine
For Now & Later: Implementing a Large-Scale Clinical Workflow While Building Business Case for Future Research Endeavors
|
