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Course Outline
Introduction to Generative AI
- Understanding AI and machine learning fundamentals
- Deep dive into generative models
- The landscape of generative AI in healthcare
Generative AI in Drug Discovery
- Accelerating drug design with AI
- Case studies: Success stories and challenges
- Virtual screening and predictive models
Personalized Medicine through Generative AI
- Tailoring treatments with AI
- Genomics and AI: A new era of personalization
- Ethical considerations in AI-powered personalized medicine
Advancements in Medical Imaging
- Enhancing diagnostics with generative AI
- 3D medical imaging and AI reconstruction techniques
- Improving patient outcomes with 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 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 regulation
Summary and Next Steps
Requirements
- Basic understanding of machine learning concepts
- Familiarity with Python programming
- Introductory knowledge of biology and healthcare systems
Audience
- Healthcare professionals
- Data analysts
- Policy makers
21 Hours
Testimonials (1)
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