The landscape of precision medicine is evolving at rapid speed, requiring new technologies to meet this demand. Computational pathology is a potentially transformative AI technology currently being used for the next generation of novel companion diagnostics. This workshop features a dynamic panel discussion on future trends, delving into the complexities and potential impact of computational pathology companion diagnostics.

-Discuss Computational Pathology in Drug Development & Regulatory Considerations: Understand the use of computational pathology in clinical trials and review the regulatory considerations needed to approve companion diagnostics which include AI.

-Navigate Reimbursement Pathways: Identify critical considerations for reimbursement to bridge the gap between diagnostics development and clinical adoption

-Build the Business Case: Explore the clinical, operational and financial considerations that drive lab decisions to adopt computational pathology

-Explore Practical Implementation: Dive into real-world laboratory requirements for implementing and validating computational pathology workflows, emphasizing operational feasibility.

Join us to connect emerging technologies to laboratory decision-making, ensuring a clear business case for adoption and implementation.