- Faster and more informed decision-making through the use of an AI-driven NAM (AI Foundation Toxicology Model) and increased efficiency through rapid processing of vast amounts of data [1]. - Increased consistency and standardisation in a NAM-based approach, specifically an AI model, used by industry in the efficient development, testing and production of safe and effective innovative health technologies, improving industrial competitiveness.
The conditions for qualifying. An eligibility check tests your details against each one.
At least 3 independent partners
Does your company qualify?
Give a few facts about your company and project, and see for each condition whether you meet it.
Eligibility checkThe objective is to deliver three to four projects that demonstrate the streamlining of regulatory reporting through automated and trusted sharing of compliance data. Each project will addr…
na Outcomes and deliverables - One or more proofs-of-concept of replicable, scalable cloud-based AI/GenAI systems for analysis of medical imaging data in a healthcare setting, with demonstr…
- Initiatives implemented for the target audience to collect knowledge on learning needs in the area of AI uptake in health. - Training programmes in the area of advanced digital skills for…
A check is an indication from the published conditions and the facts you give. Only the competent authority decides whether you are eligible.