Showcase Your Work
Join fellow scientists, translational researchers, pharmacologists, and discovery leaders for an interactive scientific poster session dedicated to advancing tumour modelling and translational oncology.
Benefits include:
- Showcase your scientific leadership
- Gain visibility amongst leading pharma and biotech organisations
- Receive direct feedback from industry experts
- Build new scientific collaborations
- Increase exposure for innovative research programmes
How to Submit Your Poster
- You must first register your place to attend the 15th Tumour Models Summit London
- Submit an abstract for consideration
- Accepted posters will be displayed during the Scientific Poster Session
- Authors will receive poster preparation guidelines following acceptance
- Scientific Poster Session: Wednesday 2nd December
- Abstract Submission Deadline: Wednesday 18th November
T&Cs
- Posters should not be used for sales and marketing purposes
- Only submissions by pharma, biotech and academic researchers will be considered for the "Most Innovative Drug Developer & Researcher Poster Winner” award. To be eligible for the researcher or drug developer category, the group or individual must be from a biotech or pharma company or research institution that has a publicly available pipeline and/or does not offer pay-for-services
- Only submissions by event partners will be considered for the "Most Innovative Vendor Poster Winner” award
- If your company offers pay-for services, you will need to submit your poster request to our partnerships team - sponsor@hansonwade.com
All abstracts are subject to approval by the conference organizers, who reserve the right to reject submissions
Explore the 2026 Event Guide
- Free* to attend for biotech & pharma
- Discover how Roche, AstraZeneca & J&J are improving translational confidence
- Explore how AI and computational modelling are transforming oncology decision-making
- Benchmark emerging human-relevant models, NAMs & tumour microenvironment platforms
- Learn practical strategies to improve model validation and predictive power
- Preview 20+ industry-led case studies, evidence presentations & insight exchanges
