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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.
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.
Professional Certification Program
Hands On:
Organoids for toxicity testing and efficacy testing in oncology/organ disease.
Outline a simple 3D drug screening experiment (model, controls, doses, readouts).
01/06/2026
IST 7:00 PM
01/06/2026 – 01/08/2026
IST 8:00 PM
Prof. Kumud Malhotra, Dean of the University Institute of Physical and Life Sciences with 30 years of experience is an academician and administrator and has attained the highest echelons in the educational sector by managing senior positions, like Director, Dean, Managing Editor, or Editor-in-Chief . . .
₹1799 | $70
₹2799 | $80
₹3799 | $95
₹4799 | $110
Take your research to the next level with NanoSchool.
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Connect with global researchers and mentors.
Worth ₹20,000 / $1,000 in academic value.
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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