We're building better nanoparticle safety using AI
The nanotechnology industry needs a revolution. Current toxicity testing is slow, expensive, and often fails to predict real-world effects. It's time for AI-powered nanoparticle safety assessment.
Nanoparticle toxicity assessment is failing us: traditional testing methods are too slow, expensive, and often miss critical safety concerns that only emerge in real-world applications.
Traditional toxicity testing takes months or years, slowing down innovation and delaying safe nanoparticle deployment in critical applications.
Current testing requires extensive laboratory work, animal testing, and specialized equipment, making comprehensive safety assessment prohibitively expensive.
Existing methods often fail to predict complex toxicity mechanisms, leading to unexpected safety issues in real-world applications.
The industry is stuck in a reactive cycle: test after development, rather than designing safety into nanoparticles from the start.
We use AI to predict nanoparticle toxicity in seconds, not months. Our advanced 3-stage machine learning pipeline provides comprehensive safety assessment that's fast, accurate, and cost-effective.
Predicts hydrodynamic diameter and aggregation behavior based on physicochemical properties, understanding how nanoparticles behave in biological environments.
Determines overall toxicity using ensemble ML models trained on 14,791+ samples from integrated datasets, providing reliable safety predictions.
Predicts specific cytotoxicity mechanisms including ROS generation, apoptosis induction, membrane damage, and cell viability effects.
🚀 Coming Soon: Complete AI-powered nanoparticle safety platform
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Email: contact@nanotoxi.com
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