Smart Bioactive Scaffolds for Regenerative Medicine: AI, Bioinformatics & 3D/4D Bioprinting
Designing Intelligent, Data-Driven Biomaterials for Next-Generation Tissue Engineering & Regenerative Medicine
About This Course
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.
Workshop 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.
Workshop Structure
🗓️ 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
Who Should Enrol?
- 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
Important Dates
Registration Ends
October 15, 2026
IST 4:30 PM
Workshop Dates
October 15, 2026 – October 17, 2026
IST 5:00 PM
Workshop 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.
Fee Structure
Student Fee
₹2499 | $65
Ph.D. Scholar / Researcher Fee
₹3499 | $75
Academician / Faculty Fee
₹4499 | $85
Industry Professional Fee
₹5499 | $105
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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