European Union26 days leftNon-profit, Private Business, Research Institution, Public Institution, Other
Generative-AI based Agents to Revolutionize Medical Diagnosis and Treatment of Cancer
Horizon Europe – EIC Pathfinder Challenges
Funding Amount
€500K - €4.0M
Deadline
29/10/2025
Eligible Organization Types
Non-profit, Private Business, Research Institution, Public Institution, Other
Trusted by
What is the Generative-AI based Agents to Revolutionize Medical Diagnosis and Treatment of Cancer Call?
Grant Description
This Pathfinder Challenge supports early-stage research to develop and validate generative artificial intelligence-based autonomous agents (and super-agents) that integrate and interpret multidimensional and multimodal medical imaging and health data for eight specified cancer types. It addresses challenges in data scarcity, multimodal integration, and model interpretability. Funded projects will generate synthetic medical data, contribute to a shared database, benchmark and externally validate ...
Required Results for Successful Funding
Expected Outcomes
• A portfolio of next-generation Gen AI models and autonomous agents for enhanced cancer diagnosis and personalized treatment
• A shared database of synthetic medical images and data for cross-project algorithm development and benchmarking
• Demonstrated improvements in diagnostic accuracy, consistency, and early detection compared with current clinical practice
• Personalized treatment-selection agents capable of forecasting disease progression and treatment efficacy
• Increased transparency and clinician trust through explainable AI frameworks and causal inference methods
• Defined innovative clinical pathways in oncology leveraging autonomous agents
• Standardized evaluation frameworks and methods for AI Act and MDR-compliant generative AI models
• External validation of agents in clinical premises of partner projects
• Enhanced healthcare efficiency, reduced clinician burden, cost reductions and avoidance, and improved patient outcomes
• Strengthened European leadership and competitiveness in AI-driven cancer care through collaborative, interdisciplinary innovation
• A shared database of synthetic medical images and data for cross-project algorithm development and benchmarking
• Demonstrated improvements in diagnostic accuracy, consistency, and early detection compared with current clinical practice
• Personalized treatment-selection agents capable of forecasting disease progression and treatment efficacy
• Increased transparency and clinician trust through explainable AI frameworks and causal inference methods
• Defined innovative clinical pathways in oncology leveraging autonomous agents
• Standardized evaluation frameworks and methods for AI Act and MDR-compliant generative AI models
• External validation of agents in clinical premises of partner projects
• Enhanced healthcare efficiency, reduced clinician burden, cost reductions and avoidance, and improved patient outcomes
• Strengthened European leadership and competitiveness in AI-driven cancer care through collaborative, interdisciplinary innovation
Funded areas
Scope Requirements
• Disease focus: choose exactly one of eight cancer types (breast, cervical, ovarian, prostate, lung, brain, stomach, colorectal)
• Address both Area 1 (at least one sub-objective) and Area 2 (at least one sub-objective):
– Area 1: Gen AI for multimodal/multidimensional data integration; medical data augmentation; medical knowledge representation and integration
– Area 2: Predictive diagnosis agent; personalized treatment-selection agent
• Algorithms must combine multiple data modalities and dimensions to produce unified, actionable datasets
• Synthetic data models must generate complementary high-fidelity data to support iterative training
• Knowledge representation prototypes must identify imaging features linked to demographics and conditions
• Agents must provide personalized risk predictions and optimal treatment pathways, with disease progression and efficacy forecasts
• Rigorous evaluation: performance metrics, uncertainty quantification, testing on diverse demographics, proof-of-concept comparisons to current practice
• Enhance interpretability via explainable AI methods
• Compliance with EU Trustworthy AI principles, ethical standards, and the AI Act
• Use of Cancer Image Europe resources and contribution of resulting datasets and tools
• Metadata tagging in EHDS catalogue using Health DCAT-AP standard
• Address both Area 1 (at least one sub-objective) and Area 2 (at least one sub-objective):
– Area 1: Gen AI for multimodal/multidimensional data integration; medical data augmentation; medical knowledge representation and integration
– Area 2: Predictive diagnosis agent; personalized treatment-selection agent
• Algorithms must combine multiple data modalities and dimensions to produce unified, actionable datasets
• Synthetic data models must generate complementary high-fidelity data to support iterative training
• Knowledge representation prototypes must identify imaging features linked to demographics and conditions
• Agents must provide personalized risk predictions and optimal treatment pathways, with disease progression and efficacy forecasts
• Rigorous evaluation: performance metrics, uncertainty quantification, testing on diverse demographics, proof-of-concept comparisons to current practice
• Enhance interpretability via explainable AI methods
• Compliance with EU Trustworthy AI principles, ethical standards, and the AI Act
• Use of Cancer Image Europe resources and contribution of resulting datasets and tools
• Metadata tagging in EHDS catalogue using Health DCAT-AP standard
Additional Conditions for Applicants
Special Conditions
• Grant type: HORIZON Lump Sum Grant (HORIZON-AG-LS), single-stage call
• Opening date: 24 July 2025; Deadline: 29 October 2025, 17:00 Brussels time
• Eligibility:
– Single legal entity projects: only small entities (no mid-caps or large companies)
– Consortia of 2 entities: independent legal entities from two different Member/Associated States
– Consortia of ≥3 entities: at least one from a Member State and two additional independent entities from different Member/Associated States
• Page limit: max 30 A4 pages for Section 1–3 of Part B of the application
• Proposals involving evolution of European communication networks (5G, post-5G, etc.) are restricted (see Annex II Section B 1)
• Third-country participation and standard admissibility conditions per Annex 2 of the EIC Work Programme 2025
• Data produced must be registered with metadata in the EHDS catalogue
• Projects must commit to share datasets and tools under agreed terms via Cancer Image Europe
• Opening date: 24 July 2025; Deadline: 29 October 2025, 17:00 Brussels time
• Eligibility:
– Single legal entity projects: only small entities (no mid-caps or large companies)
– Consortia of 2 entities: independent legal entities from two different Member/Associated States
– Consortia of ≥3 entities: at least one from a Member State and two additional independent entities from different Member/Associated States
• Page limit: max 30 A4 pages for Section 1–3 of Part B of the application
• Proposals involving evolution of European communication networks (5G, post-5G, etc.) are restricted (see Annex II Section B 1)
• Third-country participation and standard admissibility conditions per Annex 2 of the EIC Work Programme 2025
• Data produced must be registered with metadata in the EHDS catalogue
• Projects must commit to share datasets and tools under agreed terms via Cancer Image Europe
Important dates
Open from: 24/07/2025
Deadline:29/10/2025
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