SOURCE-LINKED INTELLIGENCE
Zee-Zoom-Zap: a new paradigm for cancer theranostics
cally 3D-printed micro-optical catheters, complementary optical imaging methods for unprecedented range and sensitivity, lasers at wavelengths for both imaging and therapy, and novel physics-enhanced deep learning AI models for imaging, detection, decision support, and treatment guidance. Based on an unmet medical need, the consortium will target pancreatic cancer. For decades, there has been little improvement in detecting and treating this cancer form. The long-term perspective for the Zee-Zoom-Zap is translation into the clinical setting as part of a combined population- and imaging-based screening workflow for early detection of pancreatic cancer and in situ treatment. The concept will be applicable to other cancers reachable through small lumens. The societal and economic impact, in terms of return on investment and increased survival rates, are envisaged to be significant. Furthermore, the project’s innovations, interdisciplinary character, and synergy are expected to lead to new ideas being conceived and the emergence and growth of new fields of research. The development of th
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 10000000
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.