New Year Offer End Date: 30th April 2024
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Program

Sustainable Nanomaterials for Drug Delivery and Biomedical Innovation

Designing the Future of Medicine through Sustainable Nanotechnology and Intelligent Drug Delivery

Skills you will gain:

About Program:

This three-day workshop (1.5-hour lecture per day) provides a comprehensive introduction to sustainable nanomaterials for drug delivery and biomedical innovation, integrating green synthesis principles, advanced characterization techniques, and AI-driven optimization strategies. Participants will explore nanocarriers such as Liposome, Dendrimer, and Carbon Nanotube, while gaining practical exposure to computational tools including Python, RDKit, Scikit-learn, and TensorFlow. The program bridges foundational science, translational challenges, regulatory considerations, and future trends such as personalized nanomedicine and AI-powered drug design, preparing participants for research and industry applications.

Aim:

To provide foundational knowledge and practical insight into the design, characterization, optimization, and clinical translation of sustainable nanomaterials for advanced drug delivery systems.

Program Objectives:

  • Understand classifications and biomedical applications of nanomaterials.
  • Learn principles of eco-friendly and sustainable nanomaterial synthesis.
  • Explore drug delivery fundamentals including encapsulation and release kinetics.
  • Gain knowledge of advanced characterization techniques (TEM, SEM, AFM).
  • Apply data analysis and basic machine learning tools for nanomaterial optimization.
  • Understand regulatory frameworks including U.S. Food and Drug Administration guidelines.
  • Analyze translational challenges and future trends in nanomedicine.

What you will learn?

Day 1: Foundations of Sustainable Nanomedicine

  • Introduction to Nanomaterials: Types and classifications (e.g., liposomes, dendrimers, carbon nanotubes)
  • Principles of Biological Nanomaterials as Sustainable, Eco-friendly and biocompatible
  • Green synthesis of nanomaterials and its advantages
  • Different Systems of Drug Delivery: Encapsulation
  • Tools: Design & Visualization Tools: BioRender, PubChem/ChemSpider,
  • Pandas, Matplotlib (for plotting), Colab/Jupyter (for interactive coding)

Day 2: Design, Characterization & Optimization

  • Nanomaterial Design for Drug Delivery: Structure-property relationships and targeting strategies
  • Characterization of Nanomaterials: Surface charge, morphology, size distribution, and stability analysis
  • Advanced Techniques for Nanomaterial Characterization: Transmission Electron Microscopy (TEM),Scanning Electron Microscopy (SEM), Atomic Force Microscopy (AFM)
  • Optimization of Nanocarriers: Influence of size, shape, and surface modification on drug loading and release
  • Tools: PDB,RDKit, Scikit-learn (for basic modeling), Pandas, SwissModel Matplotlib for data visualization

Day 3: Applications, Translation & Future Directions

  • Clinical Applications of Nanomedicine: Targeted drug delivery, cancer therapy, and gene delivery
  • Regulatory Considerations: FDA guidelines and global regulatory bodies for nano-medicine
  • Challenges and Future Trends in Translating Nanomaterials to Clinics: Scale-up, stability, safety, patient-specific factors and personalized medicine
  • Tools: pkCSM, SwissTargetPrediction, FormSCI, SwissADME, Tensor Flow/Keras (for data analysis), Streamlit (for creating simple UIs),

Mentor Profile

Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

2024Certfiacte

Intended For :

  • Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
  • Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
  • University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
  • Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
  • Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.

Career Supporting Skills

Program Outcomes

By the end of the workshop, participants will be able to:

  • Explain structure–property relationships in nanocarrier systems.
  • Evaluate sustainable synthesis approaches for biomedical nanomaterials.
  • Interpret nanomaterial characterization data (size, morphology, surface charge).
  • Perform basic computational modeling and visualization using Python tools.
  • Understand clinical translation pathways and regulatory considerations.
  • Identify future research directions in smart and AI-driven nanomedicine.