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Course Outline

Introduction to Generative AI

  • Understanding the fundamentals of AI and machine learning
  • Deep dive into generative models
  • Exploring the landscape of generative AI in healthcare

Generative AI in Drug Discovery

  • Accelerating drug design using AI
  • Case studies: Success stories and key challenges
  • Virtual screening and predictive modelling

Personalised Medicine through Generative AI

  • Tailoring treatments with AI-driven insights
  • Genomics and AI: A new era of personalisation
  • Ethical considerations in AI-powered personalised medicine

Advancements in Medical Imaging

  • Enhancing diagnostics with generative AI
  • 3D medical imaging and AI-based reconstruction techniques
  • Improving patient outcomes through AI-assisted imaging

Real-World Applications and Future Directions

  • Integrating generative AI into clinical practice
  • The future of AI in patient care and management
  • Final project: Proposing an AI solution for a real healthcare challenge

Ethical and Societal Implications

  • Navigating the ethical landscape of AI in healthcare
  • Data privacy, security, and governance
  • Preparing for the future: Policy and regulatory considerations

Summary and Next Steps

Requirements

  • A basic understanding of machine learning concepts
  • Familiarity with Python programming
  • Introductory knowledge of biology and healthcare systems

Intended Audience

  • Healthcare professionals
  • Data analysts
  • Policy makers
 21 Hours

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