Key information
- Date: 15 October 2025, from 14:00 to 15:00 (CEST).
- Duration: 60 minutes,
- Format: Online via Microsoft Teams, registration is mandatory.
Speakers
- Federica Zanca (moderator). EIC Program Manager for Medical Imaging and AI in Healthcare for the European Innovation Council and SMEs Executive Agency (EISMEA)
- John Hermans. Medical Imaging department, Radboud University Medical Center, Nijmegen, The Netherlands. PANCAIM Project Coordinator with Henkjan Huisman.
- Massimo Alfano. Group Leader at San Raffaele Biomedical Science Park (Milan, Italy). PHIRE Project Coordinator.
- Núria Malats. Head of the Genetic and Molecular Epidemiology Group at the Spanish National Cancer Research Centre (CNIO). PANCAID leader of WP3: Data Management and AI Analysis
Abstract
Early cancer detection is one of the most important challenges in oncology today. This 60-minute webinar will bring together healthcare professionals and researchers from three EU-funded research projects, PHIRE, PANCAIM, and PANCAID, to present different approaches to improving early diagnosis through biotechnology and artificial intelligence in pancreatic and bladder cancer. Through different strategies, the three projects share a common goal: making cancer detection faster, more accurate, and more personalised.
The discussion will highlight how collaboration between researchers, clinicians, and AI specialists is leading to real-world improvements in healthcare. The speakers will also explore the broader impact of early diagnosis on patient wellbeing, healthcare costs, and innovation in the biotech sector.
The event will include short project presentations, a panel discussion, and a Q&A session with the audience. Participants will learn about new technologies being developed, such as high-resolution imaging devices, diagnostic tests based on liquid biopsy, and the use of AI to analyse clinical and genomic data.
The webinar is aimed at medical and biotechnology researchers, physicians, healthcare professionals, organisations supporting cancer patients, and AI experts working in the health sector.
Register here