AI for Nanomedicine & Targeted Drug Delivery
Harness Artificial Intelligence to Design Next-Generation Nanocarriers for Precision Therapeutics
About This Course
The convergence of Artificial Intelligence (AI) and nanotechnology is revolutionizing drug delivery by enabling the rapid design and optimization of smart nanocarriers for targeted therapeutics. AI can analyze large experimental datasets, predict nanoparticle properties, optimize formulations, and support decision-making throughout the drug development pipeline. This significantly reduces development time, minimizes experimental costs, and enhances the efficiency of nanomedicine research.
This international online workshop provides participants with an in-depth understanding of AI-assisted nanocarrier design, covering nanocarrier selection, formulation optimization, predictive modeling, characterization, translational challenges, and real-world applications in precision medicine. Through expert-led sessions, virtual demonstrations, case studies, and AI-assisted design exercises, participants will gain practical insights into one of the fastest-growing interdisciplinary areas in healthcare and pharmaceutical biotechnology.
Aim
To equip participants with a comprehensive understanding of how Artificial Intelligence (AI) is transforming the design, optimization, and translation of smart nanocarriers for targeted drug delivery. The workshop focuses on integrating AI-driven approaches with nanomedicine principles to accelerate formulation development, improve therapeutic efficacy, and support precision medicine.
Workshop Objectives
- Understand the fundamentals of smart nanocarriers and targeted drug delivery.
- Explore the role of AI in accelerating nanocarrier design and formulation optimization.
- Learn how AI predicts nanoparticle characteristics and therapeutic performance.
- Interpret nanoparticle characterization data for formulation evaluation.
- Analyze AI-assisted case studies in cancer therapy, gene delivery, and precision medicine.
- Understand translational, regulatory, and commercialization aspects of AI-enabled nanomedicine.
- Develop a conceptual framework for designing AI-assisted nanocarrier systems.
Workshop Structure
📅 Day 1: Fundamentals of Smart Nanocarriers and AI in Drug Delivery
- Introduction to nanomedicine and targeted drug delivery
- Conventional vs. smart nanocarrier systems
- Types of nanocarriers: Liposomes, Lipid Nanoparticles (LNPs), Polymeric Nanoparticles, Dendrimers, Micelles, Gold Nanoparticles, and Exosome-inspired Nanocarriers
- Principles of passive and active targeting
- Introduction to Artificial Intelligence in pharmaceutical and nanotechnology research
- AI applications in nanoparticle design, formulation screening, and predictive modeling
- Current trends in AI-enabled precision medicine
🛠️ Virtual Hands-on Experience
Hands-on 1: Evaluate published nanocarrier formulations and identify key design parameters that influence targeting efficiency and therapeutic performance.
Hands-on 2: Compare different nanocarrier platforms and recommend the most appropriate system for a selected disease based on therapeutic goals and formulation characteristics.
📅 Day 2: AI-Assisted Formulation Optimization and Nanocarrier Characterization
- AI-driven optimization of nanoparticle size, surface charge, drug loading, and release kinetics
- Introduction to formulation-by-design concepts
- Characterization techniques: DLS, Zeta Potential, SEM, TEM, FTIR, and encapsulation efficiency
- AI-assisted prediction of nanoparticle stability and biological performance
- Quality-by-Design (QbD) principles for nanomedicine development
- Challenges in developing reproducible and scalable nanoformulations
🛠️ Virtual Hands-on Experience
Hands-on 1: Interpret nanoparticle characterization reports (particle size distribution, zeta potential, morphology, drug loading, and release profiles) using published datasets.
Hands-on 2: Assess a case study where AI was applied to optimize a nanoformulation and propose improvements based on formulation performance and characterization results.
📅 Day 3: Clinical Translation, Regulatory Considerations, and Future Perspectives
- AI-assisted drug delivery for cancer, gene therapy, vaccines, and neurological disorders
- Translating AI-designed nanocarriers from laboratory research to clinical application
- Regulatory considerations for AI-enabled nanomedicine
- Ethical considerations and data quality in AI-driven pharmaceutical research
- AI, digital twins, and autonomous laboratories in nanomedicine
- Future trends in personalized drug delivery and intelligent nanotherapeutics
🛠️ Virtual Hands-on Experience
Hands-on 1: Analyze published clinical case studies of AI-assisted nanomedicine development and evaluate formulation strategy, therapeutic outcomes, and translational challenges.
Hands-on 2: Develop a conceptual roadmap for an AI-assisted smart nanocarrier, outlining formulation design, characterization, clinical application, regulatory pathway, and commercialization strategy.
Who Should Enrol?
This workshop is tailored for academic researchers including undergraduate, postgraduate, Ph.D., and postdoctoral scholars, alongside faculty members and scientists specializing in nanotechnology, biotechnology, pharmaceutical sciences, biomedical engineering, drug delivery, formulation, and clinical research. It is equally beneficial for healthcare professionals in precision medicine, R&D specialists from the biotechnology and pharmaceutical industries, professionals in translational research and advanced therapeutics, as well as entrepreneurs and innovators developing AI-enabled healthcare technologies.
Important Dates
Registration Ends
September 9, 2026
IST 4:00 PM
Workshop Dates
September 9, 2026 – September 11, 2026
IST 4:00 PM
Workshop Outcomes
- Explain the principles of smart nanocarriers and targeted drug delivery.
- Understand how AI supports nanoparticle design and formulation optimization.
- Evaluate characterization data to assess nanocarrier quality and performance.
- Interpret published AI-assisted nanomedicine research and clinical case studies.
- Understand translational challenges, regulatory pathways, and commercialization strategies for AI-enabled nanotherapeutics.
- Apply conceptual design principles for developing intelligent drug delivery systems.
- Gain interdisciplinary knowledge at the intersection of AI, nanotechnology, and precision medicine.
Fee Structure
Student Fee
₹2999 | $65
Ph.D. Scholar / Researcher Fee
₹3999 | $75
Academician / Faculty Fee
₹4999 | $85
Industry Professional Fee
₹5999 | $100
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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