Imagine testing if a new chemical is safe without using animals, which is usually slow and expensive. Instead of labs with mice, this project uses computer simulations and tiny human-cell models to predict health risks. It's like having a digital twin of a human organ to see how a substance reacts before it ever leaves the factory.
Traditional chemical safety testing is too slow, expensive, and ethically problematic due to heavy reliance on animal experiments. This creates a bottleneck for companies trying to launch sustainable materials quickly.
A suite of over 15 computer models and cell-based lab systems, and a Knowledge Graph for safety data.
If you are a chemical producer dealing with the persistence of 'forever chemicals' — this project developed New Approach Methodologies (NAMs) that provide reliable safety information without animal testing. This speeds up the validation of sustainable alternatives.
If you are an agritech company dealing with safety questions regarding nano-pesticides — this project developed predictive computer models for nanoparticle effects on plants. This helps ensure your products meet environmental standards faster.
If you are a manufacturer dealing with the safety of 2D materials for batteries — this project developed a safety assessment system that covers the entire life cycle from production to disposal. This reduces the risk of regulatory rejection.
Based on available project data, no specific pricing or cost structures have been disclosed; the project focuses on providing accessible data for industry.
The project specifically aims for transferability to industrial environments and is demonstrating these methods on three major chemical groups to ensure they work in real-world settings.
Based on available project data, the specific licensing terms are not listed, but the goal is to provide accessible data for industry and public authorities.
Yes, the project includes regulators in its consortium and held a Regulatory Risk Assessors’ Summit with over 70 participants to ensure the methods are relevant to policy.
The project runs from 2024-01-01 to 2027-12-31, with initial tools and a knowledge graph already being developed in the first 18 months.
The consortium is well-balanced for technology transfer, consisting of 23 partners across 14 countries. While dominated by 11 universities and 6 research institutes, it maintains a 17% industry ratio with 4 companies (including 4 SMEs), ensuring that the scientific tools are developed with commercial viability and regulatory acceptance in mind.
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