AI in Nanomedicine: Personalized Drug Delivery Systems

This workshop aims to explore the role of Artificial Intelligence in enhancing personalized drug delivery systems through nanomedicine. Participants will learn how AI optimizes drug targeting, reduces side effects, and improves treatment efficacy.

• Explore AI Applications in Nanomedicine
• Understand AI-Driven Personalized Drug Delivery
• Learn AI Techniques for Nanoparticle Design
• Investigate Smart Drug Release Systems
• Apply AI in Drug Targeting and Precision Medicine
• Discuss Future Advancements in AI and Nanomedicine

• Introduction to nanomedicine and its clinical applications=
• Types of nanocarriers (liposomes, polymeric nanoparticles, dendrimers)
• AI/ML basics for biomedical applications (supervised, unsupervised, DL)
• Case studies: AI-based nanoparticle property prediction
• Q&A + Interactive Poll on participant research areas

• Dataset preparation: physicochemical & biological parameters
• AI algorithms for drug release prediction and biodistribution
• Case demo: Predicting nanoparticle size & drug encapsulation efficiency
• Regulatory considerations for AI-designed nanomedicines
• Q&A + Short Live Tool Walkthrough (e.g., Python model in Google Colab)

• AI-assisted preclinical to clinical transition workflow
• Personalized nanomedicine for cancer and rare diseases
• Integration of AI predictions into lab-to-market pipelines
• Future directions: generative AI for nanoparticle discovery
• Capstone Discussion: Designing a mock AI-nanomedicine pipeline

• Understanding AI in Nanomedicine
• AI-Powered Drug Targeting
• Nanoparticle Design with AI
• Smart Drug Release Systems
• Practical Applications of AI in Drug Delivery
• Future Trends in AI and Nanomedicine

• AI and Nanotechnology Researchers
• Pharmaceutical and Biotech Professionals
• Healthcare Practitioners and Specialists
• Medical Device Developers
• Graduate and Postgraduate Students
• Industry Professionals in Personalized Medicine