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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
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)