About Workshop
The AI in Nanomedicine: Personalized Drug Delivery Systems workshop brings together experts in AI, nanotechnology, and biomedical sciences to explore how AI is transforming drug delivery approaches. As the field of nanomedicine progresses, AI has become a critical tool for improving the efficiency and accuracy of drug targeting and delivery. This workshop will cover key topics such as AI-based nanoparticle design, smart drug release systems, predictive modeling for drug interactions, and the latest innovations in AI-driven drug development. It is designed for researchers, medical professionals, and AI enthusiasts eager to explore how personalized medicine is advancing with the synergy of AI and nanotechnology.
Aim
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.
What Participants Will Learn
- 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
Structure
Day 1 â Foundations & AI Basics in 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
Important Dates
Registration Ends
2:00 PM
Workshop Dates
2025-08-20
3:00 PM
3:00 PM
What You Will Gain
Outcomes
- 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
Who Should Attend
- AI and Nanotechnology Researchers
- Pharmaceutical and Biotech Professionals
- Healthcare Practitioners and Specialists
- Medical Device Developers
- Graduate and Postgraduate Students
- Industry Professionals in Personalized Medicine
Prof. Kumud Malhotra
Professor & Dean
Speciality: AI and Machine Learning Techniques, Nanoparticle Design and Engineering, Drug Delivery System Development, Data Analysis and Modeling, Computational Biology and Bioinformatics, Nanomedicine Applications, Personalized Medicine Strategies, Smart Drug Release Mechanisms, AI in Healthcare Solutions