[100% Off] Stem Cells &Amp; Ai In Drug Discovery: Ipscs And Organoids 101

Learn how stem cells, iPSCs, organoids, and AI are transforming clinical trials, drug safety, and personalized medicine.

Added on December 4, 2025 Teaching & Academics 2 min read

What you’ll learn

• Describe how iPSCs are generated and applied in drug discovery and regenerative medicine.
• Explain how AI accelerates drug screening
• toxicity prediction
• and personalized therapy.
• Evaluate the limitations of traditional drug development and benefits of clinical trials in a dish.
• Identify how lab-grown organoids and patient-derived cells improve disease modeling.

Requirements

• No prior experience needed. A curiosity for medicine
• biotech
• or AI is all you need.

Description

Are you curious about how the future of drug discovery is shifting toward patient-specific, human-relevant systems? This course introduces you to the cutting-edge intersection of iPSC technology, AI, and organoids that is redefining biomedical research.

You will learn how induced pluripotent stem cells, or iPSCs, are generated from adult somatic cells using Yamanaka factors, and how they can be differentiated into functional, organ-specific tissues. These lab-grown tissues, known as organoids, are already being used in clinical trials in a dish to predict drug responses with far greater accuracy than animal models.

We will also explore how artificial intelligence is revolutionizing safety assessment, drug screening, and personalized medicine. Key topics include the FDA Modernization Act 2.0, preclinical safety pipelines, biobanking, and case studies in cardiology, oncology, and neurodegenerative disease research.

This course is ideal for students, pre-med learners, biotech professionals, and anyone passionate about the future of translational science. No prior lab experience required — just curiosity and a drive to understand the future of precision medicine.

What you will learn:

• iPSC generation, differentiation, and therapeutic applications

• Organoid models and their role in preclinical testing

• AI-driven approaches in drug development

• Ethical, regulatory, and safety frameworks in next-gen therapeutics

Join us and become fluent in the science behind tomorrow’s medicine.