AI in Nanotoxicology & Safe-by-Design Nanomaterials

• Learn the fundamentals of nanotoxicology and its relevance in nanomaterial safety.
• Understand the role of AI in predicting the toxicity of nanomaterials.
• Gain hands-on experience with machine learning models for hazard classification.
• Explore regulatory requirements for safe nanomaterial development.
• Apply safe-by-design strategies to nanomaterial development pipelines.

Day 1 – Basics of Nanotoxicology & Regulatory Requirements

• Introduction to nanotoxicology and its importance in product safety
• Understanding nanomaterial risk assessment models
• The role of AI in predicting nanotoxicity
• Regulatory frameworks for safe-by-design nanomaterials

Day 2 – AI-Based Nanomaterial Safety Prediction

• AI for predicting cytotoxicity and environmental impact of nanomaterials
• Machine learning models for nanomaterial hazard classification
• Demonstration: Running toxicity prediction models using Python and open-source tools
• Data challenges: Variability in toxicity data and how AI handles it

Day 3 – Safe-by-Design Nanomaterials: Practical Applications & Industry Adoption

• Design strategies for developing safe nanomaterials using AI
• Integrating AI safety models into nanomaterial development pipelines
• Regulatory bodies and AI: How they view AI predictions for nanomaterials
• Capstone Discussion: Drafting a safe-by-design strategy using AI for new nanomaterials

• Undergraduate/postgraduate degree in Nanotechnology, Toxicology, Environmental Science, Chemistry, or related fields.
• Professionals in healthcare, pharma, diagnostics, environmental safety, or regulatory sectors.
• Data scientists and AI/ML engineers interested in applying their skills in nanotoxicology and safety assessment.
• Individuals with an interest in sustainable, safe nanomaterial development.