Project cooperationUpdated on 16 May 2025
Nanoscale treatment planning for particle radiation therapy
About
Particle radiation therapy with protons and ions offers significant advantages for cancer treatment. However, a major limitation is the uncertainty in biologically weighted treatment planning, which relies on absorbed dose and relative biological effectiveness (RBE). This project aims to develop an innovative approach for particle radiation therapy using a novel nanoscale physics concept called cluster dose. This concept considers the ionization of DNA molecules at the nanoscale as the primary physical process causing DNA damage and cell inactivation due to radiation, and once applied, enables more precise treatment planning and potentially improves clinical outcomes. AI-driven models should enhance the clinical application of the cluster dose approach.
Topic
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Type
- Consortium/Coordinator seeks Partners
Similar opportunities
Project cooperation
Radiation Dose Optimization in Young Adults and Pediatric Patients
- Partner seeks Consortium/Coordinator
- Consortium/Coordinator seeks Partners
- Cancer Mission: HORIZON-MISS-2025-02-CANCER-02: Understanding the effects of environmental exposure on the risk of paediatric, adolescent and young adult cancers
Renata Kopec
Head of Cyclotron Centre Bronowice at Institute of Nuclear Physics PAN at Institute of Nuclear Physics PAN
Krakow, Poland
Project cooperation
New AI tools and biomarkers in cancer detection
- Partner seeks Consortium/Coordinator
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Jakub Fichna
Professor at Medical University of Lodz, Poland
Łódź, Poland
Project cooperation
- Partner seeks Consortium/Coordinator
- Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)
- Cluster Health (CL1): HORIZON-HLTH-2025-03-DISEASE-02-two-stage: Advancing innovative interventions for mental, behavioural and neurodevelopmental disorders
- Cluster Health (CL1): HORIZON-HLTH-2025-01-TOOL-03: Leveraging multimodal data to advance Generative Artificial Intelligence applicability in biomedical research (GenAI4EU)
Vidas Kapušinskas
Chief Information Officer at Vilnius University Hospital Santaros Clinics
Vilnius, Lithuania