Join us at Illumina booth 719 to explore streamlined and trusted sample to report workflow options from the Illumina ecosystem.
Our booth will highlight the MiSeq i100 system, NextSeq 1000/2000, automation options, informatics solutions demo stations, IVD corner featuring FDA-approved TruSight Oncology Comprehensive and Pillar oncoReveal, and Medical Affairs & Market Access education and consultation opportunities.
Illumina Corporate Workshops and Innovation Spotlight talk will feature our customers’ successful implementation of Illumina products in a community setting, expanding their menu of options, and adapting end-to-end workflow solutions. Learn more about our talk topics and presentation details below.
The value of internalizing CGP NGS testing for community oncology practice: A panel discussion
12 noon–12:50 PM (ET)
Room 156C, Level 1
As CGP testing rates increase, community oncology practices are choosing to implement in-house testing. Many factors influence their decision on a suitable solution including, but not limited to panel content and attributes, oncologists’ preferences, lab expertise, and regulatory and reimbursement requirements. An expert panel discussion with a community-based pathologist, oncologist, and laboratory director will address:
Thomas Stricker, MD
Technical Director, Center for Genomics and Molecular Studies
Tennessee Oncology
Medical Director, Precision Medicine
OneOncology
Kash Firozvi, MD
Oncologist, Medical Director of Cancer Services
Maryland Oncology Hematology
Ramaswamy Iyer, PhD
Lab Director
Maryland Oncology Hematology
New paradigms for diagnosis of CNS tumors, sarcomas, and kidney tumors utilizing AI-driven DNA methylations classifiers
3 PM–3:50 PM (ET)
Room 159, Level 1
Applications using AI data-driven DNA methylation classifiers vastly improve accuracy in solid tumor classifications, especially for brain, sarcomas, salivary gland and kidney tumors.
DNA methylation is becoming an indispensable part of solid tumor diagnostics. Epigenetic signatures analyzed using AI and machine learning algorithms provide molecular diagnostic tools which overcome routine pathology inaccuracies. Precise molecular diagnosis and prognostic subclassification guides clinical decision from early in the workup process by decreasing diagnostic uncertainty and errors. Dr. Matija Snuderl and Dr. Kyung Park of NYU Langone Medical Center share their work developing and implementing DNA methylation-based classification of tumors and integration with other molecular tests.
Matija Snuderl, MD
Professor, Department of Pathology; Director Molecular Pathology
NYU Langone Health
Kyung Park, MD
Clinical Associate Professor
NYU Grossman School of Medicine
Precision at scale: Operationalizing high-quality oncology variant interpretation with Illumina informatics at BC Cancer
12 noon–12:30 PM (ET)
Theater Exhibit: Stage 2
Recent breakthroughs in informatics are transforming precision oncology research, streamlining interpretation and reporting of NGS data to deliver more accurate, meaningful insights at scale across advanced applications.
In this session, attendees will learn how leading oncology institution, BC Cancer, leverages Illumina informatics to operationalize somatic variant interpretation, enhancing the accuracy of their precision oncology research workflow. Leveraging sophisticated variant analysis and curation capabilities, BC Cancer is generating higher quality, more relevant oncology findings at scale.
Attendees will also get a preview of the latest innovations in Illumina informatics for key oncology applications including CGP, WGS analysis for hemopoietic disorders, and MRD detection.
Mark Mooney, PhD
Associate Director, Software Product Management
Illumina
Curtis Hughesman, PhD, P.Eng
Clinical Associate Professor
NYU Grossman School of Medicine
Illumina booth 719
11:15 AM – 7 PM (ET)
9 AM – 4 PM (ET)
9 AM – 1:30 PM (ET)