Showcase Your Work

This is an informal session to help you connect with your PCV peers in a relaxed atmosphere to continue forging new and beneficial relationships. With an audience of leading biopharma and innovative academics eager to hear the latest breakthroughs in cancer vaccine development, you will have the opportunity to display a poster presenting your own research. Don’t miss out on the chance to connect, learn, and present.

  • Demonstrate your thought leadership in target selection, next generation vaccine modalities, and translational/clinical strategies
  • Gain unparalleled visibility and exposure for your unique innovations in individualized medicine development
  • Engage in meaningful discussions and gain valuable feedback from industry peers working in discovery, immunology, preclinical, translational and clinical development, vaccine development and manufacturing.
  • Attract the attention of industry stakeholders scouting for their next acquisition or co-development opportunity.
Viewing poster
poster session socialising
Explaining poster

How to Submit Your Poster

  • You must first register your place to attend the 3rd Annual Personalized Cancer Vaccine Summit
  • Submit an abstract for review to showcase your poster during the Scientific Poster Session
  • You will be notified once your abstract has been accepted along with details of printing and size requirements. We do request an online PDF of the poster 2 weeks prior to the summit
  • Scientific Poster Session: Wednesday, December 2
  • Abstract Submission Deadline: Monday, November 2

Explore The Full 2026 Event Guide

  • 19+ expert speakers from pioneering biopharma and leading academics, including Moderna, Medici Therapeutics, Geneos Therapeutics, Nykode Therapeutics, Mayo Clinic, HDT Bio, and more
  • Gain in-depth data-driven insights into optimizing neoantigen selection, improving clinical trial design and fast-tracking production turnaround times
  • 4 interactive workshops and panel discussions to solve challenges in manufacturing, patient selection, clinical development and supply chain costs
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