| Attribute | Detail |
|---|---|
| Format | Recorded Lectures |
| Level | Advanced |
| Duration | 3 days |
| Certification | e-Certification + e-Marksheet |
| Fee | Free |
| Tools | ChatGPT Gemini Tinkercad OpenSCAD Google Colab Slic3r Ultimaker Cura LangChain Streamlit Fiji/ImageJ |
About the AI-Powered 3D Cell Culture, Organoids & Biofabrication: From Scaffold Design to Drug Screening Course
This course provides a comprehensive introduction to the use of AI in designing and optimizing 3D cell culture systems, organoid models, and biofabrication processes.
Participants will explore key applications in drug discovery, cancer research, regenerative medicine, and personalized treatments, with a focus on AI‑based scaffold design, bioimage analysis, and drug response modeling.
Program Highlights
• Comprehensive coverage of Powered 3D Cell Culture from fundamentals to advanced applications
• Hands-on projects and real-world case studies in biotechnology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: ChatGPT, Gemini, Tinkercad, OpenSCAD
• Career-oriented training for academic and professional growth in biotechnology
Course Curriculum
Module 1: Day 1 – AI‑Enhanced Scaffold Design & 3D Cell Culture
- Explore differences between 2D and 3D cell culture models
- Apply AI tools (ChatGPT, Gemini) for scaffold material selection
- Create porous scaffold prototypes using Tinkercad or OpenSCAD
Module 2: Day 2 – AI in Bioprinting, Organoids & Microfluidics
- Understand 3D bioprinting workflows and applications
- Optimize bioprinting parameters with LangChain + Streamlit
- Design micro‑fluidic systems for dynamic tissue‑on‑a‑chip studies
Module 3: Day 3 – AI‑Powered Bioimage Analysis, Drug Screening & Clinical Translation
- Segment and analyze organoid images using Fiji/ImageJ, Cellpose, DeepImageJ
- Model drug response curves and calculate IC50 values
- Translate findings into precision oncology and personalized medicine strategies
Tools, Techniques, or Platforms Covered
ChatGPT Gemini Tinkercad OpenSCAD Google Colab Slic3r Ultimaker Cura LangChain Streamlit Fiji/ImageJ
Real-World Applications
- Apply Powered 3D Cell Culture skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical biotechnology competencies
- Solve industry-relevant problems using Powered 3D Cell Culture methodologies and tools
- Contribute to open-source projects and collaborative research in biotechnology
- Prepare for competitive examinations, interviews, and professional certifications in biotechnology
Who Should Attend & Prerequisites
- Students pursuing degrees in biotechnology, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into biotechnology roles
- Researchers and academicians looking to adopt modern techniques in biotechnology
- Entrepreneurs, freelancers, and self-learners interested in practical biotechnology knowledge
Certification
