
Organoids & 3D Culture Models for Drug Screening
Discover the Future of Drug Testing with 3D Cultures & Organoid Technology
Skills you will gain:
About Program:
Organoids and advanced 3D culture systems represent one of the most transformative technologies in biomedical research. Derived from stem cells or patient tissues, organoids can self-organize into miniaturized, physiologically relevant models of organs, enabling powerful platforms for drug efficacy testing, toxicity evaluation, genetic studies, and disease modeling.
This workshop introduces the principles behind organoid biology, extracellular matrix scaffolds, 3D bioreactors, and co-culture systems. Participants will explore how organoids are engineered, how they respond to drugs, and how data from 3D models are analyzed for translational research. Case studies from oncology, neurobiology, and regenerative medicine will demonstrate real-world applications.
Aim: This workshop aims to equip participants with foundational and advanced knowledge of 3D cell culture systems, organoids, and their applications in drug discovery, toxicology, and disease modeling. The program covers organoid generation, maintenance, characterization, and high-throughput screening approaches. Participants will learn how 3D models mimic human physiology better than traditional 2D cultures and how they are used for personalized medicine, oncology research, and pharmacological testing.
Program Objectives:
- Understand how organoids are generated, maintained, and used in research.
- Learn the workflow of 3D culture-based drug screening.
- Gain insight into patient-derived organoids for personalized medicine.
- Explore imaging, viability assays, and data interpretation for 3D models.
- Build a conceptual framework for applying organoids in disease modeling & therapy evaluation.
What you will learn?
Day 1 – Introduction to 3D Culture & Organoids
- 2D vs 3D culture: why 3D? (architecture, gradients, cell–matrix interaction)
- Types of 3D models: spheroids, organoids, organ-on-chip (concept only).
- Cell sources: primary cells, stem cells, iPSCs (overview).
- Basic organoid workflow: cell source → embedding → growth → differentiation.
Day 2 – Matrices, Scaffolds & Culture Systems
- ECM & matrices: Matrigel®, hydrogels, synthetic scaffolds (conceptual comparison).
Culture formats: Embedded organoids, air–liquid interface, low-attachment plates, spinner/bioreactors. - Media & growth factors: basics of niche signaling (high-level).
- Monitoring organoids: morphology, size, viability, simple functional readouts.
- Hands On:
Analyze example protocols showing different scaffold/matrix choices.
Small-group task: choose matrix + culture format for a given organ/disease model and justify.
Day 3 – 3D Model-Based Drug Screening & Case Studies
- Experimental design for organoid/spheroid drug screening
- Controls, replicates, dose–response, endpoint selection.
- Plate formats (96/384-well) and miniaturization concepts.
- Viability (e.g., ATP-based assays), imaging (morphology, size), basic biomarkers (concept).
- Comparison: response in 2D vs 3D models (limitations & advantages).
Hands On:
Organoids for toxicity testing and efficacy testing in oncology/organ disease.
Outline a simple 3D drug screening experiment (model, controls, doses, readouts).
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!

Intended For :
- Undergraduate/postgraduate students in Biotechnology, Microbiology, Biomedical Sciences, Stem Cell Biology, Pharmacology, or related fields.
- Researchers working in oncology, drug screening, toxicology, stem cell research, or tissue engineering.
- Professionals from biotech, pharma, CROs, and translational research labs.
- Anyone interested in advanced 3D culture systems, organoids, or personalized medicine.
Career Supporting Skills
Program Outcomes
- Gain practical knowledge of protein & ligand preparation for computational analysis.
- Learn to perform molecular docking, pose scoring, and affinity prediction.
- Build ML models for bioactivity and ADMET prediction.
- Work with real chemical datasets for QSAR modeling.
- Understand how CADD integrates with wet-lab drug discovery workflows.
