New Year Offer End Date: 30th April 2024
Program

Smart Bioactive Scaffolds for Regenerative Medicine: AI, Bioinformatics & 3D/4D Bioprinting

Designing Intelligent, Data-Driven Biomaterials for Next-Generation Tissue Engineering & Regenerative Medicine

Skills you will gain:

About Program:

This workshop provides an interdisciplinary introduction to smart bioactive scaffolds, advanced biomaterials, 3D/4D bioprinting, bioinformatics, and AI-driven regenerative medicine. Participants will explore how material properties, biological data, bioink engineering, and computational methods can be integrated to design functional and personalized tissue-engineering systems. The program combines fundamental concepts with practical, research-oriented computational workflows.

Aim: To equip participants with the knowledge and practical skills required to understand, design, and optimize smart bioactive scaffolds and bioprinted tissue constructs using advanced biomaterials, biological data, and AI-driven approaches.

Program Objectives:

  • Understand key natural, synthetic, composite, and smart biomaterials used in regenerative medicine.
  • Learn principles of bioink formulation, rheology, 3D and 4D bioprinting.
  • Explore scaffold architecture, cell–material interactions, and tissue-specific design.
  • Understand how transcriptomic and single-cell data can inform regenerative medicine research.
  • Apply basic AI/ML approaches to biomaterial, bioink, and scaffold optimization.
  • Explore data-driven and personalized tissue-engineering strategies.
  • Understand emerging applications including organoid-integrated bioprinting and intelligent biofabrication.

What you will learn?

🗓️ Day 1 — Advanced Biomaterials & Scaffold Design

  • Fundamentals of tissue engineering and regenerative medicine
  • Natural, synthetic, composite and nanocomposite biomaterials
  • Scaffold properties: porosity, mechanics, degradation and biocompatibility
  • Cell–material interactions and ECM mimicry
  • Surface functionalization and bioactive modification
  • Smart hydrogels and stimuli-responsive biomaterials
  • Tissue-specific scaffold design

🛠️ Hands-On: Data-Driven Biomaterial & Scaffold Design

Task: Compare biomaterials and optimize scaffold formulations based on material and biological properties.
Tools: Google Colab, Python, Pandas, Matplotlib


🗓️ Day 2 — 3D/4D Bioprinting & Advanced Bioinks

  • Extrusion-based 3D bioprinting principles
  • Bioink formulation, rheology and printability
  • Cell-laden and acellular bioinks
  • Crosslinking strategies
  • Printing parameters and shape fidelity
  • Cell viability and shear stress
  • Multi-material and multi-cell bioprinting
  • Vascularization and complex tissue architectures
  • 4D bioprinting and stimuli-responsive constructs

🛠️ Hands-On: AI-Assisted Bioink & Printing Optimization

Task: Optimize printing conditions for printability, structural fidelity and predicted cell viability.
Tools: Python, Pandas, Scikit-learn, Google Colab


🗓️ Day 3 — Bioinformatics, AI & Personalized Regenerative Medicine

  • Omics-driven regenerative medicine
  • Transcriptomic and single-cell data for tissue regeneration
  • Regeneration-associated cell populations and biomarkers
  • Cell–material interaction analysis
  • AI/ML for scaffold property prediction
  • AI-assisted bioink and biomaterial optimization
  • Personalized tissue-construct design
  • Smart and stimuli-responsive scaffolds
  • Organoid-integrated bioprinting
  • Clinical translation and future intelligent biofabrication

🛠️ Hands-On: Omics-to-Scaffold: Bioinformatics & AI-Assisted Design

Task: Omics Data → Cell/Marker Identification → Biological Requirements → Scaffold Properties → AI-Assisted Material Selection

Tools: Python, Pandas, Scikit-learn, Google Colab & public biological datas

Mentor Profile

Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

Intended For :

  • PhD Scholars and Researchers
  • MSc/MTech/Postgraduate Students
  • Biotechnology and Biomedical Science Professionals
  • Biomedical, Chemical, Materials, Mechanical and Bioengineering Researchers
  • Nanotechnology and Tissue Engineering Researchers
  • Professionals working in Biomaterials, 3D Bioprinting and Regenerative Medicine
  • Academicians and Industry R&D Professionals

Career Supporting Skills

Program Outcomes

  • Select suitable biomaterials based on tissue-engineering requirements.
  • Evaluate key scaffold and bioink properties.
  • Interpret important 3D/4D bioprinting parameters.
  • Analyze biological datasets relevant to tissue regeneration.
  • Develop basic computational workflows for scaffold and bioink optimization.
  • Connect biological data with material-design decisions.
  • Understand emerging approaches in AI-enabled and personalized regenerative medicine.

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