PGx Workshop
Advancement of PGx Testing: Development of Evidence-based Guidelines and the Ongoing Effort to Drive Alignment with Regulatory Bodies
Kelly Caudle, PharmD, PhD

Kelly E. Caudle, Pharm.D., Ph.D., BCPS, Principal Investigator and Director, Clinical Pharmacogenetics Implementation Consortium (CPIC)

Kelly E. Caudle, Pharm.D., Ph.D., BCPS is the Clinical Pharmacogenetics Implementation Consortium (CPIC) Principal Investigator and Director. CPIC provides guidelines that enable the translation of genetic laboratory test results into actionable prescribing decisions for specific drugs. To date, CPIC has published 26 gene-based clinical guidelines. Dr. Caudle oversees all CPIC-related projects and the CPIC guideline development process including the coordination of the guideline writing committees, the guideline evidence reviews, and the writing of the guideline manuscript and supplement. Furthermore, Dr. Caudle is involved in the clinical implementation of pharmacogenetics at St. Jude Children's Research Hospital.

Dr. Caudle received her Pharm.D. and Ph.D. from The University of Tennessee Health Science Center and completed an ASHP-accredited PGY2 residency at Le Bonheur Children’s Hospital. She is also a board‐certified Pharmacotherapy Specialist. Dr. Caudle is currently an affiliate Assistant Professor at The University of Tennessee Health Science Center.
Liquid Biopsy Workshop
Rethinking Solid Tumor Profiling: How the MassARRAY Complements NGS to Optimize Testing Throughout the Treatment Journey
Dr. Adrian Box

Dr. Adrian Box, Alberta Precision Laboratories

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Great news! If you missed our recent PGx webinar about predictive biomarker identification, you can view it on demand. Find out about the latest evidence supporting predictive biomarkers and how drug efficacy and safety are related to PGx variability. View the webinar now!
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The more touchpoints along a specimen's journey increase the chance for errors, especially with NGS workflow. Our sample identification solutions use single nucleotide polymorphism (SNPs) detection to provide a unique genetic fingerprint for each sample throughout the testing journey.
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