AI in Nanomedicine: Personalized Drug Delivery Systems
From Nanoparticles to Precision: AI in Personalized Drug Delivery
Skills you will gain:
About Program:
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.
Program Objectives:
- 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
What you will learn?
Day 1 – 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
Day 2 – AI-Powered Nanocarrier Design
- 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)
Day 3 – Clinical Translation & Future Trends
- 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
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
- AI and Nanotechnology Researchers
- Pharmaceutical and Biotech Professionals
- Healthcare Practitioners and Specialists
- Medical Device Developers
- Graduate and Postgraduate Students
- Industry Professionals in Personalized Medicine
Career Supporting Skills
Program 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