Applied AI in Regenerative Medicine
This course explores the intersection of Artificial Intelligence (AI) and regenerative medicine, covering AI applications in stem cell research, tissue engineering, gene editing, biomarker discovery, and clinical decision support. Students will learn how AI enhances regenerative therapies and contributes to personalized medicine, along with discussions on ethical and regulatory considerations.
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Course Duration:
36 hours
Level:
Intermediate
Course Objectives
Understand the fundamentals of regenerative medicine and its key applications.
Explore AI techniques used in stem cell research, tissue engineering, and gene editing.
Analyse AI’s role in biomarker discovery and disease modeling for regenerative medicine.
Assess real-world case studies of AI-driven regenerative therapies.
Evaluate the ethical and regulatory challenges in applying AI to regenerative medicine.
Prerequisites
Basic knowledge of regenerative medicine or biotechnology
Fundamental understanding of AI and machine learning concepts
Background in biomedical sciences, healthcare, or AI-related fields is recommended
